• Social media data mining for counter-terrorism | Wassim Zoghlami | TEDxMünster

    Using public social media data from twitter and Facebook, actions and announcements of terrorists – in this case ISIS – can be monitored and even be predicted. With his project #DataShield Wassim shares his idea of having a tool to identify oncoming threats and attacks in order to protect people and to induce preventive actions. Wassim Zoghlami is a Tunisian Computer Engineering Senior focussing on Business Intelligence and ERP with a passion for data science, software life cycle and UX. Wassim is also an award winning serial entrepreneur working on startups in healthcare and prevention solutions in both Tunisia and The United States. During the past years Wassim has been working on different projects and campaigns about using data driven technology to help people working to uphold human...

    published: 21 Jul 2016
  • Data Mining in Social Media

    published: 08 Dec 2013
  • Mining Online Data Across Social Networks

    Capturing Data, Modeling Patterns, Predicting Behavior. Capturing Data, Modeling Patterns, Predicting Behavior - Based on collecting more than 20 million blog posts and news media articles per day, Professor Jure Leskovec discusses how to mine such data to capture and model temporal patterns in the news over a daily time-scale --in particular, the succession of story lines that evolve and compete for attention. He discusses models to quantify the influence of individual media sites on the popularity of news stories and algorithms for inferring hidden networks of information flow. Learn more: http://scpd.stanford.edu/

    published: 18 Aug 2011
  • Mining Media International- Indonesia / MMI Indonesia

    Making Your Brand shine Through Our publications, Mining Clubs, Trade shows and Conferences Checkout : www.mmi-indonesia.co.id or www.mining-media.com or Call +6221 2940 6337

    published: 19 Dec 2013
  • Visual Text Mining in Social Media

    In today’s world of data dominance, social networking websites and especially microblogging platforms, form the largest share in current unstructured textual data. If the proper tools, such as opinion mining and sentiment analysis are applied to that data, valuable information would be produced. That information in turn could offer insights from understanding market trends to interpreting social phenomena.The purpose of this thesis is the design and implementation of a system that deals with Network Analysis algorithms and visualisation of social networking data. Such a system consists of the following modules: Data retrieval is responsible for collecting data from social networking platforms. Data preprocessing methods cleans data of irrelevant information and prepares them for the applic...

    published: 10 Nov 2014
  • TRAILER: RailTrek Media "Northshore Mining Railroad: The Little Giant"

    We've braved the dark of night, howling snowstorms and sub-zero conditions to bring you the story of Northshore Mining Railroad: The Little Giant! Formed out of the original Reserve Mining Railroad, this is the little railroad that could, did, and does in a big way! This program has it all. Explore the operations of the Northshore Mining Railroad with a look at the facilities in Silver Bay, rotary dumping activities, and giant lake freighters loading and unloading on Lake Superior! See the beautiful colors of fall in Northeastern Minnesota’s Arrowhead region. Listen to melodious airhorns echoing through the forest. Witness the brutal blast of winter as we film in all conditions, both day and night. Enjoy the 17,000 ton ore trains pulled by a pure EMD roster in crisp HD detail. This ...

    published: 28 Sep 2015
  • The Surveillance State Ups Its Game on Social Media Data Mining

    The EU has taken the next step in asymmetric economic warfare against Russia by banning Russian banks from EU markets. How will the BRICS respond? Then, as social media becomes the high ground for both monitoring and manipulating public opinion, Palantir ups its data mining capabilities on Twitter with an acquisition. And Google is pushing back against the EU’s memory hole legislation by notifying publishers of links that have been removed. EU sanctions some of Russia's biggest banks, including #1 Sberbank - http://rt.com/business/177088-eu-sanctions-banks-sberbank/ WIKILEAKS SAYS RUSSIA MAY TRADE SNOWDEN FOR BETTER RELATIONS WITH U.S - http://www.infowars.com/wikileaks-says-russia-may-trade-snowden-for-better-relations-with-u-s/ . Russia tightens controls on blogosphere - http://www...

    published: 01 Aug 2014
  • Social Media Data Mining with Raspberry Pi (Part 5: Twitter, Tweepy, Python)

    This video is fifth in a series for absolute beginners who would like to learn how to mine and analyze social media data using an inexpensive, accessible computer called the Raspberry Pi. In this installment, I show Raspberry Pi owners how to install Tweepy, write a script in the programming language Python, and collect basic user and communication data from the social media platform Twitter. Coming up in installment number Six: how to STORE social media data you've collected into a permanent, well-organized database.

    published: 18 Apr 2016
  • Social Media Data Mining with Raspberry Pi (Part 7: Saving Data as CSV)

    This video is seventh in a series for **absolute beginners** who would like to use an inexpensive, accessible computer called the Raspberry Pi in order to carry out social media data mining and analysis. In this installment, I walk through the process for storing social media data you've collected in the universally-accessible delimited format called CSV. We use the Python library CSV and consider ways to make a CSV format better organized and more useful. Coming up in installment number 8: working with Twitter and the csv.writer command to form data into appropriate shapes to characterize links, hashtags and relationships.

    published: 12 May 2016
  • Social Media Data Mining & Analysis with Raspberry Pi (Part 1: Setup)

    This video is the first in a series that walks through all necessary steps for social media data mining and analysis with Raspberry Pi. Part 1 describes all the necessary hardware for the project and how to set up that hardware in just five minutes. Recorded for the University of Maine at Augusta.

    published: 06 Feb 2016
  • Click Rain Interview on Social Media Data Mining

    The privacy debate surrounding recent Facebook changes and their roll-out of the open graph has marketers licking their chops. It also has an increasing number of consumers and privacy advocates raising their voices in concern. However, there is another privacy issue that is surfacing and it involves the mining of public social media profile data to build social profiles. These social profiles, in turn, are being used by companies to determine things like an individual's financial liability and credit risk level based on their friends, pages they like, and other data. KELO-TV in Sioux Falls recently highlighted this "Digital Dossier" issue and asked Click Rain to weigh in on this trend and what consumers can do to protect themselves.

    published: 19 May 2010
  • Suzuki smears “disgusting” Canadian mining companies

    Christopher Wilson reports that David Suzuki has taken a shot at Canada’s mining industry from the safety of Rabble.ca where he calls them the worst in the world. MORE: http://www.therebel.media/suzuki_smears_canadian_mining_companies_as_disgusting http://www.Facebook.com/JoinTheRebel *** http://www.Twitter.com/TheRebelTV The Petition All Members of Parliament should vote against the money-grabbing carbon tax. http://www.StopTheCarbonTax.com

    published: 25 Oct 2016
  • How Facebook Data Mining, And Your Info, Is Influencing The 2016 Election | TODAY

    With the 2016 presidential election only 27 days away, we’re taking a look at how the campaigns are taking to social media in the hopes of trying to win the all-important millennial vote and how data mining on Facebook and other social platforms is influencing your view of the election. NBC News’ Jo Ling Kent reports for TODAY. Red, White and You is brought to you by Amazon. » Subscribe to TODAY: http://on.today.com/SubscribeToTODAY » Watch the latest from TODAY: http://bit.ly/LatestTODAY About: TODAY brings you the latest headlines and expert tips on money, health and parenting. We wake up every morning to give you and your family all you need to start your day. If it matters to you, it matters to us. We are in the people business. Subscribe to our channel for exclusive TODAY archival fo...

    published: 12 Oct 2016
  • Social Media Text Analytics - Mining Value From Predictive Insights

    Text analytics applied to social media has to date been fairly crude, mostly focusing on counting words of concepts mentioned in unstuctured text. The text analytics of Neurolingo took a more sophisticated lexicographic and grammatical analysis to messages from Twitter relating to sporting events and was able to detect messages that were focused in specific games and signalling people's intents - their wishes for the outcome, their feelings for the outcome and their predictions. The results were remarkably accurate forecasts, including tough calls for the 2012 Super Bowl and the 2012 NCAA college basketball finals that defied the predictions of odds-makers and many sports analysts. This same technology and methodology can be applied to determining the focus and intent of people in many sit...

    published: 04 May 2012
  • Mining Social Media Data for Understanding Students’ Learning Experiences

    Abstract—Students’ informal conversations on social media (e.g. Twitter, Facebook) shed light into their educational experiences—opinions, feelings, and concerns about the learning process. Data from such uninstrumented environments can provide valuable knowledge to inform student learning. Analyzing such data, however, can be challenging. The complexity of students’ experiences reflected from social media content requires human interpretation. However, the growing scale of data demands automatic data analysis techniques. In this paper, we developed a workflow to integrate both qualitative analysis and large-scale data mining techniques. We focused on engineering students’ Twitter posts to understand issues and problems in their educational experiences. We first conducted a qualitative ana...

    published: 05 Aug 2015
  • Social Media Data Mining with Raspberry Pi (Part 8: Extracting Hashtags, URLs, Mentions)

    This video is eighth in a series for beginners in the use of an inexpensive, accessible Raspberry Pi computer to carry out social media data mining and analysis. In this installment, I walk through the process for extracting hashtag, URL (web address), and mentioning data from Twitter posts ("Tweets") and saving them in CSV files that are linked by a common reference to Tweet ID. Coming up in installment #9: using input commands to customize searches without changing the underlying Python code.

    published: 02 Oct 2016
  • Social Media Data Mining With Raspberry Pi (Part 4: Installing R)

    This video -- tailored for beginnners and non-specialists -- is fourth in a series that walks through all the steps necessary to mine and analyze social media data using the inexpensive computer called a Raspberry Pi. Part 4 demonstrates how to update lists of available software through the sudo apt-get update command, how to install R software on the Raspberry Pi, and how to very basically run R either directly or through scripts written using the PICO text editor.

    published: 12 Apr 2016
  • Social Media Data Mining With Raspberry Pi (Part 3: Operating Systems)

    This video is third in a series that walks through all the steps necessary to mine and analyze social media data using the inexpensive computer called a Raspberry Pi. Part 3 describes the two operating system environments of the Raspberry Pi: the Windows-like graphic user interface and the Linux text-based terminal environment.

    published: 22 Feb 2016
  • Media Mining Client Overview 2015

    This demo video will provide you with a quick overview of the Media Mining Client (MMC), SAIL LABS' powerful graphical user interface for turning raw, unstructured cross-media and cross-lingual data from open sources into actionable knowledge and intelligence. For more information, please contact us via: info4speech@sail-labs.com www.sail-labs.com

    published: 05 Aug 2015
  • Try this Data Mining Tip for Increased Social Engagement

    Fanatics Media http://bit.ly/1OAawrf Irina Jordan on the importance data context. Data is important but data without context is meaningless. Social listening competency matters as people are pouring their hearts to you. Social listening in its purest form doesn’t assume anything - it’s an opportunity to answer questions that you don’t even know you should ask. It helps you decipher what signals to take in, which are being amplified in the popular culture, and which need responses from your brand. Respond to fans and detractors. “Hug your haters” as Jay Baer says, “Haters are not your problem; ignoring them is.” Instead of starting yet another dashboard, start sending a company-wide email about what people are sharing about your company – positive and negative. This is how you add cont...

    published: 29 Aug 2016
  • Social Media Mining

    Social Media Mining

    published: 14 Nov 2011
  • Mining Social Media Data for Understanding Students’ Learning Experiences

    Students’ informal conversations on social media (e.g. Twitter, Facebook) shed light into their educational experiences—opinions, feelings, and concerns about the learning process. Data from such uninstrumented environments can provide valuable knowledge to inform student learning. Analyzing such data, however, can be challenging. The complexity of students’ experiences reflected from social media content requires human interpretation. However, the growing scale of data demands automatic data analysis techniques. In this paper, we developed a workflow to integrate both qualitative analysis and large-scale data mining techniques. We focused on engineering students’ Twitter posts to understand issues and problems in their educational experiences. We first conducted a qualitative analysis on ...

    published: 30 Jun 2015
  • Monckton proposes mining industry news ventures in Australia

    take action at http://www.getup.org.au This week mining billionaire Gina Rinehart became the largest shareholder in Fairfax, having already bought a stake in Channel Ten. But this new video reveals this move is bigger than one woman's ambition -- it's part of a coordinated and very deliberate strategy, with climate skeptic 'Lord' Monkton seen here advising a room full of mining executives on how the industry must gain control of Australia's media.

    published: 03 Feb 2012
  • Lord Monckton - Mining Industry Owned Media

    Why are Mining Moguls like Rinehart and Palmer buying up the Media Industry? In Perth, Lord Monckton delivered for Gina Rinehart the Lang Hancock Memorial Lecture. He also attended a strategy meeting of the fundamentalist free market think-tank, the Mannkal Economic Education Foundation, whose chairman, Ron Manners, was once a close friend of Lang Hancock and is now a close friend of Gina Rinehart. Monckton spoke to members of the Mannkal Foundation. His talk was filmed and, strangely enough, posted on YouTube. After Gina Rinehart increased her Fairfax shareholding, the jovial and genial Queensland coal magnate, Clive Palmer, was interviewed on television by Tony Jones. Jones asked him whether he had considered following Rinehart and moving into media ownership. "Well that looks attractiv...

    published: 21 Dec 2015
Social media data mining for counter-terrorism | Wassim Zoghlami | TEDxMünster

Social media data mining for counter-terrorism | Wassim Zoghlami | TEDxMünster

  • Order:
  • Duration: 10:27
  • Updated: 21 Jul 2016
  • views: 245
videos
Using public social media data from twitter and Facebook, actions and announcements of terrorists – in this case ISIS – can be monitored and even be predicted. With his project #DataShield Wassim shares his idea of having a tool to identify oncoming threats and attacks in order to protect people and to induce preventive actions. Wassim Zoghlami is a Tunisian Computer Engineering Senior focussing on Business Intelligence and ERP with a passion for data science, software life cycle and UX. Wassim is also an award winning serial entrepreneur working on startups in healthcare and prevention solutions in both Tunisia and The United States. During the past years Wassim has been working on different projects and campaigns about using data driven technology to help people working to uphold human rights and to promote civic engagement and culture across Tunisia and the MENA region. He is also the co-founder of the Tunisian Center for Civic Engagement, a strong advocate for open access to research, open data and open educational resources and one of the Global Shapers in Tunis. At TEDxMünster Wassim will talk about public social media data mining for counter-terrorism and his project idea DataShield. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx
https://wn.com/Social_Media_Data_Mining_For_Counter_Terrorism_|_Wassim_Zoghlami_|_Tedxmünster
Data Mining in Social Media

Data Mining in Social Media

  • Order:
  • Duration: 5:26
  • Updated: 08 Dec 2013
  • views: 2961
videos
https://wn.com/Data_Mining_In_Social_Media
Mining Online Data Across Social Networks

Mining Online Data Across Social Networks

  • Order:
  • Duration: 1:04:14
  • Updated: 18 Aug 2011
  • views: 16356
videos
Capturing Data, Modeling Patterns, Predicting Behavior. Capturing Data, Modeling Patterns, Predicting Behavior - Based on collecting more than 20 million blog posts and news media articles per day, Professor Jure Leskovec discusses how to mine such data to capture and model temporal patterns in the news over a daily time-scale --in particular, the succession of story lines that evolve and compete for attention. He discusses models to quantify the influence of individual media sites on the popularity of news stories and algorithms for inferring hidden networks of information flow. Learn more: http://scpd.stanford.edu/
https://wn.com/Mining_Online_Data_Across_Social_Networks
Mining Media International- Indonesia / MMI Indonesia

Mining Media International- Indonesia / MMI Indonesia

  • Order:
  • Duration: 3:28
  • Updated: 19 Dec 2013
  • views: 114
videos
Making Your Brand shine Through Our publications, Mining Clubs, Trade shows and Conferences Checkout : www.mmi-indonesia.co.id or www.mining-media.com or Call +6221 2940 6337
https://wn.com/Mining_Media_International_Indonesia_Mmi_Indonesia
Visual Text Mining in Social Media

Visual Text Mining in Social Media

  • Order:
  • Duration: 7:32
  • Updated: 10 Nov 2014
  • views: 1466
videos
In today’s world of data dominance, social networking websites and especially microblogging platforms, form the largest share in current unstructured textual data. If the proper tools, such as opinion mining and sentiment analysis are applied to that data, valuable information would be produced. That information in turn could offer insights from understanding market trends to interpreting social phenomena.The purpose of this thesis is the design and implementation of a system that deals with Network Analysis algorithms and visualisation of social networking data. Such a system consists of the following modules: Data retrieval is responsible for collecting data from social networking platforms. Data preprocessing methods cleans data of irrelevant information and prepares them for the application of the sentiment analysis method. Sentiment Analysis applies a model to the data in order to classify them according to their sentiment. Data Reprocessing prepares the data for the visualization process. Topic Modeling applies specific algorithms that identify topics in text corpora. Visualization process represents data in a graph, taking into account the results of all previous processes.
https://wn.com/Visual_Text_Mining_In_Social_Media
TRAILER: RailTrek Media "Northshore Mining Railroad: The Little Giant"

TRAILER: RailTrek Media "Northshore Mining Railroad: The Little Giant"

  • Order:
  • Duration: 4:25
  • Updated: 28 Sep 2015
  • views: 1389
videos
We've braved the dark of night, howling snowstorms and sub-zero conditions to bring you the story of Northshore Mining Railroad: The Little Giant! Formed out of the original Reserve Mining Railroad, this is the little railroad that could, did, and does in a big way! This program has it all. Explore the operations of the Northshore Mining Railroad with a look at the facilities in Silver Bay, rotary dumping activities, and giant lake freighters loading and unloading on Lake Superior! See the beautiful colors of fall in Northeastern Minnesota’s Arrowhead region. Listen to melodious airhorns echoing through the forest. Witness the brutal blast of winter as we film in all conditions, both day and night. Enjoy the 17,000 ton ore trains pulled by a pure EMD roster in crisp HD detail. This program is available in both Blu-ray and DVD formats and contains over 2 hours of exciting iron ore railroading! Come "up north" with us, and enjoy railfanning the Northshore Mining Railroad! Visit http://www.railtrekmedia.com for more information.
https://wn.com/Trailer_Railtrek_Media_Northshore_Mining_Railroad_The_Little_Giant
The Surveillance State Ups Its Game on Social Media Data Mining

The Surveillance State Ups Its Game on Social Media Data Mining

  • Order:
  • Duration: 12:38
  • Updated: 01 Aug 2014
  • views: 9634
videos
The EU has taken the next step in asymmetric economic warfare against Russia by banning Russian banks from EU markets. How will the BRICS respond? Then, as social media becomes the high ground for both monitoring and manipulating public opinion, Palantir ups its data mining capabilities on Twitter with an acquisition. And Google is pushing back against the EU’s memory hole legislation by notifying publishers of links that have been removed. EU sanctions some of Russia's biggest banks, including #1 Sberbank - http://rt.com/business/177088-eu-sanctions-banks-sberbank/ WIKILEAKS SAYS RUSSIA MAY TRADE SNOWDEN FOR BETTER RELATIONS WITH U.S - http://www.infowars.com/wikileaks-says-russia-may-trade-snowden-for-better-relations-with-u-s/ . Russia tightens controls on blogosphere - http://www.theguardian.com/world/2014/jul/31/russia-controls-blogosphere-new-law Germany orders CIA station chief to leave over spying allegations - http://www.washingtonpost.com/world/europe/germany-expels-us-intelligence-station-chief-over-spying-allegations/2014/07/10/dc60b1f0-083c-11e4-8a6a-19355c7e870a_story.html CIA admits to spying on Senate staffers - http://www.theguardian.com/world/2014/jul/31/cia-admits-spying-senate-staffers Hackers Can Control Your Phone Using a Tool That’s Already Built Into It - http://www.wired.com/2014/07/hackers-can-control-your-phone-using-a-tool-thats-already-built-into-it/ Palantir Acquires Social Analytics Specialist Poptip - http://blogs.wsj.com/digits/2014/07/30/palentir-acquires-social-analytics-specialist-poptip/ Google Says It Has the Right to Notify Publishers of ‘Forgotten’ Requests - http://blogs.wsj.com/digits/2014/07/31/google-says-it-has-right-to-notify-publishers-of-requests-to-be-forgotten/ Follow Alex on TWITTER - https://twitter.com/RealAlexJones Infowars on G+ - https://plus.google.com/+infowars/ Like Alex on FACEBOOK - https://www.facebook.com/AlexanderEmerickJones :Web: http://www.infowars.com/ http://www.prisonplanet.com/ http://www.infowars.net/ :Subscribe and share your login with 11 friends: http://www.prisonplanet.tv http://www.InfowarsNews.com Visit http://www.InfowarsLife.com to get the products Alex Jones and his family trust, while supporting the growth of our expanding media operation. [http://bit.ly/1rGOLsG] DNA Force™ [http://bit.ly/1nIngBb] X2 Survival Shield™ [http://bit.ly/1kaXxKL] Super Female Vitality™ [http://bit.ly/1mhAKCO] Lung Cleanse™ [http://bit.ly/1mGbikx] Silver-Bullet - Colloidal Silver™ [http://bit.ly/1rUsgkl] Fluoride Shield™ [http://bit.ly/1xcoUfo] Super Male Vitality™ [http://bit.ly/1z5BCP9] Survival Shield - Nascent Iodine™ [http://bit.ly/1o4sQtc] Patriot Blend 100% Organic Coffee™ [http://bit.ly/1iVL6HB] Immune Support 100% Organic Coffee™ All available at - http://www.infowarsshop.com/ INFOWARS MAGAZINE - LATEST ISSUE http://www.infowarsshop.com/-Infowars-Magazine_c_65.html INFOWARS HEALTH - START GETTING HEALTHY BEFORE IT'S TOO LATE - http://www.infowarshealth.com/ Newsletter Sign-up - Includes free monthly digital copy of Infowars Magazine - http://www.infowars.com/newsletter
https://wn.com/The_Surveillance_State_Ups_Its_Game_On_Social_Media_Data_Mining
Social Media Data Mining with Raspberry Pi (Part 5: Twitter, Tweepy, Python)

Social Media Data Mining with Raspberry Pi (Part 5: Twitter, Tweepy, Python)

  • Order:
  • Duration: 23:14
  • Updated: 18 Apr 2016
  • views: 885
videos
This video is fifth in a series for absolute beginners who would like to learn how to mine and analyze social media data using an inexpensive, accessible computer called the Raspberry Pi. In this installment, I show Raspberry Pi owners how to install Tweepy, write a script in the programming language Python, and collect basic user and communication data from the social media platform Twitter. Coming up in installment number Six: how to STORE social media data you've collected into a permanent, well-organized database.
https://wn.com/Social_Media_Data_Mining_With_Raspberry_Pi_(Part_5_Twitter,_Tweepy,_Python)
Social Media Data Mining with Raspberry Pi (Part 7: Saving Data as CSV)

Social Media Data Mining with Raspberry Pi (Part 7: Saving Data as CSV)

  • Order:
  • Duration: 25:45
  • Updated: 12 May 2016
  • views: 420
videos
This video is seventh in a series for **absolute beginners** who would like to use an inexpensive, accessible computer called the Raspberry Pi in order to carry out social media data mining and analysis. In this installment, I walk through the process for storing social media data you've collected in the universally-accessible delimited format called CSV. We use the Python library CSV and consider ways to make a CSV format better organized and more useful. Coming up in installment number 8: working with Twitter and the csv.writer command to form data into appropriate shapes to characterize links, hashtags and relationships.
https://wn.com/Social_Media_Data_Mining_With_Raspberry_Pi_(Part_7_Saving_Data_As_Csv)
Social Media Data Mining & Analysis with Raspberry Pi (Part 1: Setup)

Social Media Data Mining & Analysis with Raspberry Pi (Part 1: Setup)

  • Order:
  • Duration: 5:13
  • Updated: 06 Feb 2016
  • views: 854
videos
This video is the first in a series that walks through all necessary steps for social media data mining and analysis with Raspberry Pi. Part 1 describes all the necessary hardware for the project and how to set up that hardware in just five minutes. Recorded for the University of Maine at Augusta.
https://wn.com/Social_Media_Data_Mining_Analysis_With_Raspberry_Pi_(Part_1_Setup)
Click Rain Interview on Social Media Data Mining

Click Rain Interview on Social Media Data Mining

  • Order:
  • Duration: 4:00
  • Updated: 19 May 2010
  • views: 1186
videos
The privacy debate surrounding recent Facebook changes and their roll-out of the open graph has marketers licking their chops. It also has an increasing number of consumers and privacy advocates raising their voices in concern. However, there is another privacy issue that is surfacing and it involves the mining of public social media profile data to build social profiles. These social profiles, in turn, are being used by companies to determine things like an individual's financial liability and credit risk level based on their friends, pages they like, and other data. KELO-TV in Sioux Falls recently highlighted this "Digital Dossier" issue and asked Click Rain to weigh in on this trend and what consumers can do to protect themselves.
https://wn.com/Click_Rain_Interview_On_Social_Media_Data_Mining
Suzuki smears “disgusting” Canadian mining companies

Suzuki smears “disgusting” Canadian mining companies

  • Order:
  • Duration: 4:28
  • Updated: 25 Oct 2016
  • views: 9570
videos
Christopher Wilson reports that David Suzuki has taken a shot at Canada’s mining industry from the safety of Rabble.ca where he calls them the worst in the world. MORE: http://www.therebel.media/suzuki_smears_canadian_mining_companies_as_disgusting http://www.Facebook.com/JoinTheRebel *** http://www.Twitter.com/TheRebelTV The Petition All Members of Parliament should vote against the money-grabbing carbon tax. http://www.StopTheCarbonTax.com
https://wn.com/Suzuki_Smears_“Disgusting”_Canadian_Mining_Companies
How Facebook Data Mining, And Your Info, Is Influencing The 2016 Election | TODAY

How Facebook Data Mining, And Your Info, Is Influencing The 2016 Election | TODAY

  • Order:
  • Duration: 3:40
  • Updated: 12 Oct 2016
  • views: 838
videos
With the 2016 presidential election only 27 days away, we’re taking a look at how the campaigns are taking to social media in the hopes of trying to win the all-important millennial vote and how data mining on Facebook and other social platforms is influencing your view of the election. NBC News’ Jo Ling Kent reports for TODAY. Red, White and You is brought to you by Amazon. » Subscribe to TODAY: http://on.today.com/SubscribeToTODAY » Watch the latest from TODAY: http://bit.ly/LatestTODAY About: TODAY brings you the latest headlines and expert tips on money, health and parenting. We wake up every morning to give you and your family all you need to start your day. If it matters to you, it matters to us. We are in the people business. Subscribe to our channel for exclusive TODAY archival footage & our original web series. Connect with TODAY Online! Visit TODAY's Website: http://on.today.com/ReadTODAY Find TODAY on Facebook: http://on.today.com/LikeTODAY Follow TODAY on Twitter: http://on.today.com/FollowTODAY Follow TODAY on Google+: http://on.today.com/PlusTODAY Follow TODAY on Instagram: http://on.today.com/InstaTODAY Follow TODAY on Pinterest: http://on.today.com/PinTODAY How Facebook Data Mining, And Your Info, Is Influencing The 2016 Election | TODAY
https://wn.com/How_Facebook_Data_Mining,_And_Your_Info,_Is_Influencing_The_2016_Election_|_Today
Social Media Text Analytics - Mining Value From Predictive Insights

Social Media Text Analytics - Mining Value From Predictive Insights

  • Order:
  • Duration: 29:56
  • Updated: 04 May 2012
  • views: 1244
videos
Text analytics applied to social media has to date been fairly crude, mostly focusing on counting words of concepts mentioned in unstuctured text. The text analytics of Neurolingo took a more sophisticated lexicographic and grammatical analysis to messages from Twitter relating to sporting events and was able to detect messages that were focused in specific games and signalling people's intents - their wishes for the outcome, their feelings for the outcome and their predictions. The results were remarkably accurate forecasts, including tough calls for the 2012 Super Bowl and the 2012 NCAA college basketball finals that defied the predictions of odds-makers and many sports analysts. This same technology and methodology can be applied to determining the focus and intent of people in many situations, including key enterprise settings. NOTE: some problems with flicker in this video related to the Google Hangouts technology.
https://wn.com/Social_Media_Text_Analytics_Mining_Value_From_Predictive_Insights
Mining Social Media Data for Understanding Students’ Learning Experiences

Mining Social Media Data for Understanding Students’ Learning Experiences

  • Order:
  • Duration: 9:09
  • Updated: 05 Aug 2015
  • views: 277
videos
Abstract—Students’ informal conversations on social media (e.g. Twitter, Facebook) shed light into their educational experiences—opinions, feelings, and concerns about the learning process. Data from such uninstrumented environments can provide valuable knowledge to inform student learning. Analyzing such data, however, can be challenging. The complexity of students’ experiences reflected from social media content requires human interpretation. However, the growing scale of data demands automatic data analysis techniques. In this paper, we developed a workflow to integrate both qualitative analysis and large-scale data mining techniques. We focused on engineering students’ Twitter posts to understand issues and problems in their educational experiences. We first conducted a qualitative analysis on samples taken from about 25,000 tweets related to engineering students’ college life. We found engineering students encounter problems such as heavy study load, lack of social engagement, and sleep deprivation. Based on these results, we implemented a multi-label classification algorithm to classify tweets reflecting students’ problems. We then used the algorithm to train a detector of student problems from about 35,000 tweets streamed at the geo-location of Purdue University. This work, for the first time, presents a methodology and results that show how informal social media data can provide insights into students’ experiences.
https://wn.com/Mining_Social_Media_Data_For_Understanding_Students’_Learning_Experiences
Social Media Data Mining with Raspberry Pi (Part 8: Extracting Hashtags, URLs, Mentions)

Social Media Data Mining with Raspberry Pi (Part 8: Extracting Hashtags, URLs, Mentions)

  • Order:
  • Duration: 41:14
  • Updated: 02 Oct 2016
  • views: 260
videos
This video is eighth in a series for beginners in the use of an inexpensive, accessible Raspberry Pi computer to carry out social media data mining and analysis. In this installment, I walk through the process for extracting hashtag, URL (web address), and mentioning data from Twitter posts ("Tweets") and saving them in CSV files that are linked by a common reference to Tweet ID. Coming up in installment #9: using input commands to customize searches without changing the underlying Python code.
https://wn.com/Social_Media_Data_Mining_With_Raspberry_Pi_(Part_8_Extracting_Hashtags,_Urls,_Mentions)
Social Media Data Mining With Raspberry Pi (Part 4: Installing R)

Social Media Data Mining With Raspberry Pi (Part 4: Installing R)

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  • Duration: 9:33
  • Updated: 12 Apr 2016
  • views: 951
videos
This video -- tailored for beginnners and non-specialists -- is fourth in a series that walks through all the steps necessary to mine and analyze social media data using the inexpensive computer called a Raspberry Pi. Part 4 demonstrates how to update lists of available software through the sudo apt-get update command, how to install R software on the Raspberry Pi, and how to very basically run R either directly or through scripts written using the PICO text editor.
https://wn.com/Social_Media_Data_Mining_With_Raspberry_Pi_(Part_4_Installing_R)
Social Media Data Mining With Raspberry Pi (Part 3: Operating Systems)

Social Media Data Mining With Raspberry Pi (Part 3: Operating Systems)

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  • Duration: 13:36
  • Updated: 22 Feb 2016
  • views: 641
videos
This video is third in a series that walks through all the steps necessary to mine and analyze social media data using the inexpensive computer called a Raspberry Pi. Part 3 describes the two operating system environments of the Raspberry Pi: the Windows-like graphic user interface and the Linux text-based terminal environment.
https://wn.com/Social_Media_Data_Mining_With_Raspberry_Pi_(Part_3_Operating_Systems)
Media Mining Client Overview 2015

Media Mining Client Overview 2015

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  • Duration: 3:23
  • Updated: 05 Aug 2015
  • views: 144
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This demo video will provide you with a quick overview of the Media Mining Client (MMC), SAIL LABS' powerful graphical user interface for turning raw, unstructured cross-media and cross-lingual data from open sources into actionable knowledge and intelligence. For more information, please contact us via: info4speech@sail-labs.com www.sail-labs.com
https://wn.com/Media_Mining_Client_Overview_2015
Try this Data Mining Tip for Increased Social Engagement

Try this Data Mining Tip for Increased Social Engagement

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  • Duration: 1:54
  • Updated: 29 Aug 2016
  • views: 2285
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Fanatics Media http://bit.ly/1OAawrf Irina Jordan on the importance data context. Data is important but data without context is meaningless. Social listening competency matters as people are pouring their hearts to you. Social listening in its purest form doesn’t assume anything - it’s an opportunity to answer questions that you don’t even know you should ask. It helps you decipher what signals to take in, which are being amplified in the popular culture, and which need responses from your brand. Respond to fans and detractors. “Hug your haters” as Jay Baer says, “Haters are not your problem; ignoring them is.” Instead of starting yet another dashboard, start sending a company-wide email about what people are sharing about your company – positive and negative. This is how you add context to your data. ****************************************************** Want to hire us? We create digital marketing campaigns that drive revenue and massive awareness for your company. http://www.fanaticsmedia.com ******************************************************* Find us on Social Media Twitter: http://www.twitter.com/markfidelman LinkedIn: http://www.linkedin.com/fidelman Websites http://www.fanaticsmedia.com (digital marketing and ecommerce http://www.evolvesinc.com for influencer marketing Instagram: http://www.instagram.com/markfidelman Community Link http://www.fanaticsmedia.com/fandamonium or http://fanatics.influitive.com/users/sign_up -------------------------------------------------------------
https://wn.com/Try_This_Data_Mining_Tip_For_Increased_Social_Engagement
Social Media Mining

Social Media Mining

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  • Duration: 2:22
  • Updated: 14 Nov 2011
  • views: 103
videos https://wn.com/Social_Media_Mining
Mining Social Media Data for Understanding Students’ Learning Experiences

Mining Social Media Data for Understanding Students’ Learning Experiences

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  • Duration: 0:54
  • Updated: 30 Jun 2015
  • views: 375
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Students’ informal conversations on social media (e.g. Twitter, Facebook) shed light into their educational experiences—opinions, feelings, and concerns about the learning process. Data from such uninstrumented environments can provide valuable knowledge to inform student learning. Analyzing such data, however, can be challenging. The complexity of students’ experiences reflected from social media content requires human interpretation. However, the growing scale of data demands automatic data analysis techniques. In this paper, we developed a workflow to integrate both qualitative analysis and large-scale data mining techniques. We focused on engineering students’ Twitter posts to understand issues and problems in their educational experiences. We first conducted a qualitative analysis on samples taken from about 25,000 tweets related to engineering students’ college life. We found engineering students encounter problems such as heavy study load, lack of social engagement, and sleep deprivation. Based on these results, we implemented a multi label classification algorithm to classify tweets reflecting students’ problems. We then used the algorithm to train a detector of student problems from tweets streamed at the geo-location of Purdue University. This work, for the first time, presents a methodology and results that show how informal social media data can provide insights into students’ experiences.
https://wn.com/Mining_Social_Media_Data_For_Understanding_Students’_Learning_Experiences
Monckton proposes mining industry news ventures in Australia

Monckton proposes mining industry news ventures in Australia

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  • Duration: 3:29
  • Updated: 03 Feb 2012
  • views: 126195
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take action at http://www.getup.org.au This week mining billionaire Gina Rinehart became the largest shareholder in Fairfax, having already bought a stake in Channel Ten. But this new video reveals this move is bigger than one woman's ambition -- it's part of a coordinated and very deliberate strategy, with climate skeptic 'Lord' Monkton seen here advising a room full of mining executives on how the industry must gain control of Australia's media.
https://wn.com/Monckton_Proposes_Mining_Industry_News_Ventures_In_Australia
Lord Monckton - Mining Industry Owned Media

Lord Monckton - Mining Industry Owned Media

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  • Duration: 3:24
  • Updated: 21 Dec 2015
  • views: 595
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Why are Mining Moguls like Rinehart and Palmer buying up the Media Industry? In Perth, Lord Monckton delivered for Gina Rinehart the Lang Hancock Memorial Lecture. He also attended a strategy meeting of the fundamentalist free market think-tank, the Mannkal Economic Education Foundation, whose chairman, Ron Manners, was once a close friend of Lang Hancock and is now a close friend of Gina Rinehart. Monckton spoke to members of the Mannkal Foundation. His talk was filmed and, strangely enough, posted on YouTube. After Gina Rinehart increased her Fairfax shareholding, the jovial and genial Queensland coal magnate, Clive Palmer, was interviewed on television by Tony Jones. Jones asked him whether he had considered following Rinehart and moving into media ownership. "Well that looks attractive, Fairfax, doesn't it? Fairfax looks very exciting. You could have an east-west play with Fairfax. Gina could come from the west and buy 15% and we could buy 30% from the eastern side and really get the place humming again." Was Palmer joking? Was he serious? It was impossible to be sure. Gina's friend, John Singleton, who is responsible for 2GB, the radio station that broadcasts Andrew Bolt, Alan Jones and Ray Hadley, told The Good Weekend that he and Gina Rinehart are involved in a common political enterprise. Their common cause is the war against Labor and the Greens; the fight against the mining and carbon tax; more broadly the struggle against serious action to combat climate change; and if it ever proved to be necessary securing the future of King Coal.
https://wn.com/Lord_Monckton_Mining_Industry_Owned_Media