• Data Mining in Social Media

    published: 08 Dec 2013
  • 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
  • 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
  • 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
  • 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
  • VPR Mining Infra pvt Ltd - Corporate Film

    Based in Hyderabad (India) VPR Mining Infra Private Limited (VPRMIPL) is one of the leading CONTRACT MINING COMPANY with an annual turnover of around 100 Million USD. The company also has a global presence with operations in INDIA , Senegal and Indonesia which places it in a unique league among all LEADING CONTRACT MINING COMPANIES . Currently the company has major ongoing contracts with various prominent Central and State Govt. Public sector miners in India , MAJOR GROUPS IN SENEGAL & INDONESIA The company has a fleet of more than 500 small and large equipment at its disposal and commands a production capacity of more than 150 Million BCM per annum

    published: 04 Mar 2017
  • Mali Gold Mining: The Price of Gold

    published: 29 Apr 2012
  • 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
  • Media Mining System Overview 2015

    This video provides you with an overview of the SAIL LABS Media Mining System, an award-winning integrated platform for analysts and decision makers, extracting metadata and key information from multiple sources in multiple languages in real time. The Media Mining System consists of multiple components which are combined to provide a revolutionary capability: The power of cross-media and cross-lingual information retrieval, analytics and dissemination. For more information, please contact us via: info4speech@sail-labs.com www.sail-labs.com

    published: 30 Jul 2015
  • Tourist behavior analysis using social media and text analytics

    Tool created in order to analyze tourist behavior using social media. With this tool it is possible to correctly identify where tourists came from and where they go, also if they liked the foreign country using text analytics. It is also possible to get tourist spending patterns (how much they spend).

    published: 19 Sep 2015
  • Banks Mining Social Media

    published: 18 Feb 2010
  • Media Futures - Multimedia Mining

    ENGS101P Individual video course work By Ana-Maria Belciug

    published: 24 Oct 2016
  • 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
  • Social Media Text Mining Rapid Minder

    published: 13 Mar 2017
  • 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
  • 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
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
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
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
Media Mining Client Overview 2015

Media Mining Client Overview 2015

  • Order:
  • Duration: 3:23
  • Updated: 05 Aug 2015
  • views: 144
videos
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
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: 1222
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)
VPR Mining Infra pvt Ltd - Corporate Film

VPR Mining Infra pvt Ltd - Corporate Film

  • Order:
  • Duration: 18:03
  • Updated: 04 Mar 2017
  • views: 224
videos
Based in Hyderabad (India) VPR Mining Infra Private Limited (VPRMIPL) is one of the leading CONTRACT MINING COMPANY with an annual turnover of around 100 Million USD. The company also has a global presence with operations in INDIA , Senegal and Indonesia which places it in a unique league among all LEADING CONTRACT MINING COMPANIES . Currently the company has major ongoing contracts with various prominent Central and State Govt. Public sector miners in India , MAJOR GROUPS IN SENEGAL & INDONESIA The company has a fleet of more than 500 small and large equipment at its disposal and commands a production capacity of more than 150 Million BCM per annum
https://wn.com/Vpr_Mining_Infra_Pvt_Ltd_Corporate_Film
Mali Gold Mining: The Price of Gold

Mali Gold Mining: The Price of Gold

  • Order:
  • Duration: 15:25
  • Updated: 29 Apr 2012
  • views: 67338
videos
https://wn.com/Mali_Gold_Mining_The_Price_Of_Gold
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: 548
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)
Media Mining System Overview 2015

Media Mining System Overview 2015

  • Order:
  • Duration: 4:12
  • Updated: 30 Jul 2015
  • views: 585
videos
This video provides you with an overview of the SAIL LABS Media Mining System, an award-winning integrated platform for analysts and decision makers, extracting metadata and key information from multiple sources in multiple languages in real time. The Media Mining System consists of multiple components which are combined to provide a revolutionary capability: The power of cross-media and cross-lingual information retrieval, analytics and dissemination. For more information, please contact us via: info4speech@sail-labs.com www.sail-labs.com
https://wn.com/Media_Mining_System_Overview_2015
Tourist behavior analysis using social media and text analytics

Tourist behavior analysis using social media and text analytics

  • Order:
  • Duration: 3:06
  • Updated: 19 Sep 2015
  • views: 578
videos
Tool created in order to analyze tourist behavior using social media. With this tool it is possible to correctly identify where tourists came from and where they go, also if they liked the foreign country using text analytics. It is also possible to get tourist spending patterns (how much they spend).
https://wn.com/Tourist_Behavior_Analysis_Using_Social_Media_And_Text_Analytics
Banks Mining Social Media

Banks Mining Social Media

  • Order:
  • Duration: 4:38
  • Updated: 18 Feb 2010
  • views: 309
videos
https://wn.com/Banks_Mining_Social_Media
Media Futures - Multimedia Mining

Media Futures - Multimedia Mining

  • Order:
  • Duration: 2:00
  • Updated: 24 Oct 2016
  • views: 61
videos
ENGS101P Individual video course work By Ana-Maria Belciug
https://wn.com/Media_Futures_Multimedia_Mining
Visual Text Mining in Social Media

Visual Text Mining in Social Media

  • Order:
  • Duration: 7:32
  • Updated: 10 Nov 2014
  • views: 1838
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
Social Media Text Mining Rapid Minder

Social Media Text Mining Rapid Minder

  • Order:
  • Duration: 30:15
  • Updated: 13 Mar 2017
  • views: 81
videos
https://wn.com/Social_Media_Text_Mining_Rapid_Minder
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
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
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