• 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
  • Intro - Mining Data from Social Media with Python

    Intro to video tutorial series for Mining Data from Social Media with Python ------ Channel link: https://goo.gl/nVWDos Subscribe here: https://goo.gl/gMdGUE Link to playlist: https://goo.gl/WIHiEy ---- Join my Facebook Group to stay connected: http://bit.ly/2lZ3FC5 Like my Facebbok Page for updates: https://www.facebook.com/tigerstylecodeacademy/ Follow me on Twitter: https://twitter.com/sukhsingh Profile on LinkedIn: https://www.linkedin.com/in/singhsukh/ ---- Schedule: New educational videos every week ----- Get the source code here: http://bit.ly/2nSQSAT

    published: 25 Jan 2017
  • 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
  • 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
  • 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
  • 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: 28 Jun 2017
  • Media Mining System Overview

    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
  • 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
  • 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
  • Dr Stephan Ludwig - How text mining in social media makes for smarter data?

    After completing his PhD at Maastricht University in the Netherlands, Stephan worked as a consultant for a few years, but returned to academia because he missed teaching and “the liberty of choosing the projects I want to work on”. His current research projects include looking at what can be learned from how customers formulate their experiences and communicate with each other. “What can we learn about the customer experience from that? How do other consumers react? And, from a company’s perspective, how do messages need to be formulated to be more impactful and be heard by more people?”

    published: 21 Dec 2015
  • From Mining to Media

    Wits student, JohnnyJay Khalo is one of the very few who gets to enjoy the best of both worlds. Obtaining a BCS double degree in Mining engineering and Geology, he decided to join the media industry whilst juggling his studies. He talks about the transition, and what it felt like growing up queer in the Kasi. This video was shot and produced by Karen Mwendera.

    published: 13 Jun 2017
  • 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
  • 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
  • SpiegelMining – Reverse Engineering von Spiegel-Online (33c3)

    Wer denkt, Vorratsdatenspeicherungen und „Big Data“ sind harmlos, der kriegt hier eine Demo an Spiegel-Online. Seit Mitte 2014 hat David fast 100.000 Artikel von Spiegel-Online systematisch gespeichert. Diese Datenmasse wird er in einem bunten Vortrag vorstellen und erforschen. David Kriesel

    published: 29 Dec 2016
  • Media Futures - Multimedia Mining

    ENGS101P Individual video course work By Ana-Maria Belciug

    published: 24 Oct 2016
  • Mining the Social Web: A look inside Storyful, the world's first social media news agency

    "Everybody now is a storyteller...but when everybody's telling a story, which stories are worth listening to?" Google News Lab took a behind-the-scenes look at Storyful and its team of editors as they sift through eyewitness media posted to social platforms like YouTube and find the most newsworthy social content of the day, using a unique blend of technology and expert journalism.

    published: 17 Jun 2015
  • Text Mining Social Media Sentiment Analytics in R-11th June 2016

    Analytics Accelerator Program- May 2016-July 2016 Batch

    published: 12 Jun 2016
  • 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 9: Custom Input)

    This video is ninth 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 explain and show how to modify your previous programs to allow for custom input -- this lets you run data-gathering programs very quickly and easily. To accomplish this, you only need to learn two simple commands related to user input and concatenation (the act of putting two pieces of text together).

    published: 27 Feb 2017
  • [Schimmer Media] How to Raspberry Pi & R-Box Bitcoin mining [Deutsch]

    Hier erkläre ich wie ich eure RockMiner R-Box mit einem Raspberry Pi betreiben könnt. Außerdem stelle ich meine Meiner Vor und halte Smalltalk über Bitcoin. Download link für das R-Box Raspberry Pi Image: http://goo.gl/yZzHYP RockMiner R-Box http://goo.gl/sulNLJ Antminer S1 http://goo.gl/hQ6jYR Lüfter http://goo.gl/DyHbbd Ich hoffe ich konnte euch weiter Helfen, Über ein Abbo würde ich mich sehr freuen :-)

    published: 25 Jun 2014
  • 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
  • Genesis BTC Mining - Media Coverage

    published: 26 May 2017
  • GHANA CHAMBER OF MINES MEDIA INTERACTION

    published: 09 Apr 2016
  • Man dies at Waihi gold mine - media conference

    published: 28 Jul 2016
  • Man dies at Waihi gold mine - media conference

    published: 28 Jul 2016
  • Social Media Mining An Introduction

    published: 03 Jul 2017
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: 685
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: 3743
videos
https://wn.com/Data_Mining_In_Social_Media
Intro - Mining Data from Social Media with Python

Intro - Mining Data from Social Media with Python

  • Order:
  • Duration: 7:22
  • Updated: 25 Jan 2017
  • views: 933
videos
Intro to video tutorial series for Mining Data from Social Media with Python ------ Channel link: https://goo.gl/nVWDos Subscribe here: https://goo.gl/gMdGUE Link to playlist: https://goo.gl/WIHiEy ---- Join my Facebook Group to stay connected: http://bit.ly/2lZ3FC5 Like my Facebbok Page for updates: https://www.facebook.com/tigerstylecodeacademy/ Follow me on Twitter: https://twitter.com/sukhsingh Profile on LinkedIn: https://www.linkedin.com/in/singhsukh/ ---- Schedule: New educational videos every week ----- Get the source code here: http://bit.ly/2nSQSAT
https://wn.com/Intro_Mining_Data_From_Social_Media_With_Python
VPR Mining Infra pvt Ltd - Corporate Film

VPR Mining Infra pvt Ltd - Corporate Film

  • Order:
  • Duration: 18:03
  • Updated: 04 Mar 2017
  • views: 5386
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
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: 0
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
Media Mining Client Overview 2015

Media Mining Client Overview 2015

  • Order:
  • Duration: 3:23
  • Updated: 05 Aug 2015
  • views: 177
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: 1299
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)
Mining Social Media Data for Understanding Students’ Learning Experiences

Mining Social Media Data for Understanding Students’ Learning Experiences

  • Order:
  • Duration: 3:03
  • Updated: 28 Jun 2017
  • views: 20
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. Index Terms—Education, computers and education, social networking, web text analysis
https://wn.com/Mining_Social_Media_Data_For_Understanding_Students’_Learning_Experiences
Media Mining System Overview

Media Mining System Overview

  • Order:
  • Duration: 4:12
  • Updated: 30 Jul 2015
  • views: 655
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
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: 569
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)
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: 1811
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
Dr Stephan Ludwig - How text mining in social media makes for smarter data?

Dr Stephan Ludwig - How text mining in social media makes for smarter data?

  • Order:
  • Duration: 1:38
  • Updated: 21 Dec 2015
  • views: 56
videos
After completing his PhD at Maastricht University in the Netherlands, Stephan worked as a consultant for a few years, but returned to academia because he missed teaching and “the liberty of choosing the projects I want to work on”. His current research projects include looking at what can be learned from how customers formulate their experiences and communicate with each other. “What can we learn about the customer experience from that? How do other consumers react? And, from a company’s perspective, how do messages need to be formulated to be more impactful and be heard by more people?”
https://wn.com/Dr_Stephan_Ludwig_How_Text_Mining_In_Social_Media_Makes_For_Smarter_Data
From Mining to Media

From Mining to Media

  • Order:
  • Duration: 7:03
  • Updated: 13 Jun 2017
  • views: 32
videos
Wits student, JohnnyJay Khalo is one of the very few who gets to enjoy the best of both worlds. Obtaining a BCS double degree in Mining engineering and Geology, he decided to join the media industry whilst juggling his studies. He talks about the transition, and what it felt like growing up queer in the Kasi. This video was shot and produced by Karen Mwendera.
https://wn.com/From_Mining_To_Media
Mining Media International- Indonesia / MMI Indonesia

Mining Media International- Indonesia / MMI Indonesia

  • Order:
  • Duration: 3:28
  • Updated: 19 Dec 2013
  • views: 117
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
Mining Online Data Across Social Networks

Mining Online Data Across Social Networks

  • Order:
  • Duration: 1:04:14
  • Updated: 18 Aug 2011
  • views: 17744
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
SpiegelMining – Reverse Engineering von Spiegel-Online (33c3)

SpiegelMining – Reverse Engineering von Spiegel-Online (33c3)

  • Order:
  • Duration: 58:46
  • Updated: 29 Dec 2016
  • views: 104778
videos
Wer denkt, Vorratsdatenspeicherungen und „Big Data“ sind harmlos, der kriegt hier eine Demo an Spiegel-Online. Seit Mitte 2014 hat David fast 100.000 Artikel von Spiegel-Online systematisch gespeichert. Diese Datenmasse wird er in einem bunten Vortrag vorstellen und erforschen. David Kriesel
https://wn.com/Spiegelmining_–_Reverse_Engineering_Von_Spiegel_Online_(33C3)
Media Futures - Multimedia Mining

Media Futures - Multimedia Mining

  • Order:
  • Duration: 2:00
  • Updated: 24 Oct 2016
  • views: 89
videos
ENGS101P Individual video course work By Ana-Maria Belciug
https://wn.com/Media_Futures_Multimedia_Mining
Mining the Social Web: A look inside Storyful, the world's first social media news agency

Mining the Social Web: A look inside Storyful, the world's first social media news agency

  • Order:
  • Duration: 2:17
  • Updated: 17 Jun 2015
  • views: 78609
videos
"Everybody now is a storyteller...but when everybody's telling a story, which stories are worth listening to?" Google News Lab took a behind-the-scenes look at Storyful and its team of editors as they sift through eyewitness media posted to social platforms like YouTube and find the most newsworthy social content of the day, using a unique blend of technology and expert journalism.
https://wn.com/Mining_The_Social_Web_A_Look_Inside_Storyful,_The_World's_First_Social_Media_News_Agency
Text Mining Social Media Sentiment Analytics in  R-11th June 2016

Text Mining Social Media Sentiment Analytics in R-11th June 2016

  • Order:
  • Duration: 2:42:02
  • Updated: 12 Jun 2016
  • views: 802
videos
Analytics Accelerator Program- May 2016-July 2016 Batch
https://wn.com/Text_Mining_Social_Media_Sentiment_Analytics_In_R_11Th_June_2016
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: 1880
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 9: Custom Input)

Social Media Data Mining with Raspberry Pi (Part 9: Custom Input)

  • Order:
  • Duration: 23:05
  • Updated: 27 Feb 2017
  • views: 167
videos
This video is ninth 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 explain and show how to modify your previous programs to allow for custom input -- this lets you run data-gathering programs very quickly and easily. To accomplish this, you only need to learn two simple commands related to user input and concatenation (the act of putting two pieces of text together).
https://wn.com/Social_Media_Data_Mining_With_Raspberry_Pi_(Part_9_Custom_Input)
[Schimmer Media] How to Raspberry Pi & R-Box Bitcoin mining [Deutsch]

[Schimmer Media] How to Raspberry Pi & R-Box Bitcoin mining [Deutsch]

  • Order:
  • Duration: 19:53
  • Updated: 25 Jun 2014
  • views: 25466
videos
Hier erkläre ich wie ich eure RockMiner R-Box mit einem Raspberry Pi betreiben könnt. Außerdem stelle ich meine Meiner Vor und halte Smalltalk über Bitcoin. Download link für das R-Box Raspberry Pi Image: http://goo.gl/yZzHYP RockMiner R-Box http://goo.gl/sulNLJ Antminer S1 http://goo.gl/hQ6jYR Lüfter http://goo.gl/DyHbbd Ich hoffe ich konnte euch weiter Helfen, Über ein Abbo würde ich mich sehr freuen :-)
https://wn.com/Schimmer_Media_How_To_Raspberry_Pi_R_Box_Bitcoin_Mining_Deutsch
Visual Text Mining in Social Media

Visual Text Mining in Social Media

  • Order:
  • Duration: 7:32
  • Updated: 10 Nov 2014
  • views: 1924
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: 114
videos
https://wn.com/Social_Media_Text_Mining_Rapid_Minder
Genesis BTC Mining - Media Coverage

Genesis BTC Mining - Media Coverage

  • Order:
  • Duration: 0:38
  • Updated: 26 May 2017
  • views: 8
videos
https://wn.com/Genesis_Btc_Mining_Media_Coverage
GHANA CHAMBER OF MINES MEDIA INTERACTION

GHANA CHAMBER OF MINES MEDIA INTERACTION

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  • Duration: 2:58
  • Updated: 09 Apr 2016
  • views: 4
videos
https://wn.com/Ghana_Chamber_Of_Mines_Media_Interaction
Man dies at Waihi gold mine - media conference

Man dies at Waihi gold mine - media conference

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  • Duration: 6:53
  • Updated: 28 Jul 2016
  • views: 532
videos
https://wn.com/Man_Dies_At_Waihi_Gold_Mine_Media_Conference
Man dies at Waihi gold mine - media conference

Man dies at Waihi gold mine - media conference

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  • Duration: 11:01
  • Updated: 28 Jul 2016
  • views: 50
videos
https://wn.com/Man_Dies_At_Waihi_Gold_Mine_Media_Conference
Social Media Mining  An Introduction

Social Media Mining An Introduction

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  • Duration: 0:37
  • Updated: 03 Jul 2017
  • views: 0
videos
https://wn.com/Social_Media_Mining_An_Introduction