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Hercule: a platform to help journalists detect emerging news topics, check their veracity, track an event as it unfolds and find the various angles in a story as it develops.
Hercule: Journalist Platform to Find Breaking News and Fight Fake Ones
Hercule: Journalist Platform to Find Breaking News and Fight Fake Ones
Ontotext
presentation at Berkman Center
How Stuff Go Viral
How Stuff Go Viral
Hong Qu
lecture slides
Reinventing Video Journalism for the Mobile Age
Reinventing Video Journalism for the Mobile Age
Hong Qu
A 30 min presentation to the Knowledge Commercialisation Australasia Annual Conference, Canberra, ACT, Nov 11, 2010. More information: http://tinyurl.com/openkca This is a slightly remixed version of http://www.slideshare.net/leighblackall/open-uc-at-kca
Open education and research at the university of canberra
Open education and research at the university of canberra
James Neill
guide to setup and run usability tests
Usability Test 101
Usability Test 101
Hong Qu
ONA 2013 Design That Works session by Hong Qu
ONA 2013 Design That Works session by Hong Qu
Hong Qu
audio and live blog notes http://cmsw.mit.edu/liveblog-hong-qu-keepr/
Keepr presentation at MIT CMSW
Keepr presentation at MIT CMSW
Hong Qu
wireframe
Introduction to building wireframes
Introduction to building wireframes
Hong Qu
Recommandé
Hercule: a platform to help journalists detect emerging news topics, check their veracity, track an event as it unfolds and find the various angles in a story as it develops.
Hercule: Journalist Platform to Find Breaking News and Fight Fake Ones
Hercule: Journalist Platform to Find Breaking News and Fight Fake Ones
Ontotext
presentation at Berkman Center
How Stuff Go Viral
How Stuff Go Viral
Hong Qu
lecture slides
Reinventing Video Journalism for the Mobile Age
Reinventing Video Journalism for the Mobile Age
Hong Qu
A 30 min presentation to the Knowledge Commercialisation Australasia Annual Conference, Canberra, ACT, Nov 11, 2010. More information: http://tinyurl.com/openkca This is a slightly remixed version of http://www.slideshare.net/leighblackall/open-uc-at-kca
Open education and research at the university of canberra
Open education and research at the university of canberra
James Neill
guide to setup and run usability tests
Usability Test 101
Usability Test 101
Hong Qu
ONA 2013 Design That Works session by Hong Qu
ONA 2013 Design That Works session by Hong Qu
Hong Qu
audio and live blog notes http://cmsw.mit.edu/liveblog-hong-qu-keepr/
Keepr presentation at MIT CMSW
Keepr presentation at MIT CMSW
Hong Qu
wireframe
Introduction to building wireframes
Introduction to building wireframes
Hong Qu
Design Process YouTube
Design Process YouTube
Hong Qu
social science research that powers Upworthy
Why People Share
Why People Share
Hong Qu
A 15 minute session presented during Open Access Week 2014 at University of Canberra on Monday 20 October 12:30-1:00 Project Room 3 (1C77 - Student Commons)
How and why to edit wikipedia
How and why to edit wikipedia
James Neill
This is a presentation describing various defense mechanisms with examples. In between there is a quiz, in which viewers are supposed to identify the defense depicted in the pictures. This presentation would be useful to teach defense mechanisms to students of psychiatry and psychology. References are used from the Comprehensive textbook of psychiatry. The pictures are downloaded from google images.
Defense mechanisms
Defense mechanisms
Nilima Shah
User Experience Research
User Experience Research
Hong Qu
Unconscious motivation
Unconscious motivation
James Neill
Slides presented at MinneAnalytics MinneFRAMA 2018/12/03 by Bonnie K. Holub, Ph.D. - The Road Ahead
Minne analytics presentation 2018 12 03 final compressed
Minne analytics presentation 2018 12 03 final compressed
Bonnie Holub
Monday was another great conference by MinneAnalytics! #MinneFRAMA was a great success with over 1,100 attendees at Science Museum of Minnesota. Alison Rempel Brown is a great host! A Teradata colleague told me that her post about my presentation "blew up" with hits and she got over 2K views, and 60+ likes. I'm proud to be a part of this great #datascience organization brining #machinelearning and #artificialintelligence #analytics to our #bigdata clients. If you want my slides, here they are.
Minne analytics presentation 2018 12 03 final compressed
Minne analytics presentation 2018 12 03 final compressed
Bonnie Holub
This is a brief survey of data journalism, including the kinds of issues data journalists tackle, key challenges involved, and some examples of notable work. Data journalism covers a broad range of activities. Some journalists construct databases from scratch. Others make detailed visualizations that illuminate hidden patterns. Using data, journalists can uncover new areas for potential stories, discover systemic patterns, verify claims, and address issues with greater transparency and detail.
Data Journalism 101: A Brief Survey
Data Journalism 101: A Brief Survey
Flex.io
Introduction Why big data is required Big data Big data facts Big data 3 V’s Why big data is important Examples where big data is used Analytics Approach to analytic development Analysis of data through senser. Analytics can help in Big data analytics Big data analytics in practice How big data is used in twitter to get patterns Human resource cost and risk of big data. Big data analytics tools and technology Conclusions references
Bigdata
Bigdata
PANKAJ PANDEY
Data journalism in the second machine age
Data journalism in the second machine age
Alexander Howard
Introduction to big data : - use case - what is Big Data - why is the future so bright for Big Data
Introduction to big data
Introduction to big data
Nathan Krasney
Prototype Demo from Storm King Analytics
20.08 vumbua demo
20.08 vumbua demo
Dan Evans
A presentation for the Developing Caribbean conference. developingcaribbean.org
Data journalism Overview
Data journalism Overview
Alexander Howard
Text Analytics Past, Present & Future: keynote presentation by Seth Grimes at the TEMIS User Conference, Barcelona, July 9, 2009.
Text Analytics Past, Present & Future
Text Analytics Past, Present & Future
Seth Grimes
Ml master class for CFA Dallas
Ml master class for CFA Dallas
Ml master class for CFA Dallas
QuantUniversity
Open data, big data, small data - what's the difference? Do you work with data? Small and medium sized businesses are pressured to transform traditional practices into data-driven models. In this presentation, CEO, Ugur Kadakal explains the big data v. small data and the insights we can pull from each for better business intelligence. Do you work with data, or just like learning about it? Check out our blog on www.Visart.io for data stories and other resources.
Big Data v. Small data - Rules to thumb for 2015
Big Data v. Small data - Rules to thumb for 2015
Visart
Financial Technology companies are on the rise, and big data is here to help. Jan 30, 2017 - Oasis500 Bootcamp session for FinTech Startups
Big Data in FinTech
Big Data in FinTech
Mahmoud Jalajel
The informatic challenges of 2013 and beyond are bigger than any one company. This presentation provides an overview of a number of recent, successful crowd-sourced and community-driven applications that combine ‘Big Data’ approaches with Community involvement. The speaker dives into the numbers and specific details of Factual’s approach to large-scale, multi-authored data collection and aggregation, and how the company’s data ethos and business positioning dictates both the shape of its technology and its vision of large-scale, collective data ecosystems.
Bigger than Any One: Solving Large Scale Data Problems with People and Machines
Bigger than Any One: Solving Large Scale Data Problems with People and Machines
Tyler Bell
Computational Journalism Bangalore , Oct 2009
Computational Journalism
Computational Journalism
ADGP, Public Grivences, Bangalore
https://www.irjet.net/archives/V6/i6/IRJET-V6I6751.pdf
IRJET- Milestones and Challenges of Fake News Detection using Digital Forensi...
IRJET- Milestones and Challenges of Fake News Detection using Digital Forensi...
IRJET Journal
Big Data and Hadoop
Big data analytics with Apache Hadoop
Big data analytics with Apache Hadoop
Suman Saurabh
Contenu connexe
En vedette
Design Process YouTube
Design Process YouTube
Hong Qu
social science research that powers Upworthy
Why People Share
Why People Share
Hong Qu
A 15 minute session presented during Open Access Week 2014 at University of Canberra on Monday 20 October 12:30-1:00 Project Room 3 (1C77 - Student Commons)
How and why to edit wikipedia
How and why to edit wikipedia
James Neill
This is a presentation describing various defense mechanisms with examples. In between there is a quiz, in which viewers are supposed to identify the defense depicted in the pictures. This presentation would be useful to teach defense mechanisms to students of psychiatry and psychology. References are used from the Comprehensive textbook of psychiatry. The pictures are downloaded from google images.
Defense mechanisms
Defense mechanisms
Nilima Shah
User Experience Research
User Experience Research
Hong Qu
Unconscious motivation
Unconscious motivation
James Neill
En vedette
(6)
Design Process YouTube
Design Process YouTube
Why People Share
Why People Share
How and why to edit wikipedia
How and why to edit wikipedia
Defense mechanisms
Defense mechanisms
User Experience Research
User Experience Research
Unconscious motivation
Unconscious motivation
Similaire à Keepr @DataGotham 2013
Slides presented at MinneAnalytics MinneFRAMA 2018/12/03 by Bonnie K. Holub, Ph.D. - The Road Ahead
Minne analytics presentation 2018 12 03 final compressed
Minne analytics presentation 2018 12 03 final compressed
Bonnie Holub
Monday was another great conference by MinneAnalytics! #MinneFRAMA was a great success with over 1,100 attendees at Science Museum of Minnesota. Alison Rempel Brown is a great host! A Teradata colleague told me that her post about my presentation "blew up" with hits and she got over 2K views, and 60+ likes. I'm proud to be a part of this great #datascience organization brining #machinelearning and #artificialintelligence #analytics to our #bigdata clients. If you want my slides, here they are.
Minne analytics presentation 2018 12 03 final compressed
Minne analytics presentation 2018 12 03 final compressed
Bonnie Holub
This is a brief survey of data journalism, including the kinds of issues data journalists tackle, key challenges involved, and some examples of notable work. Data journalism covers a broad range of activities. Some journalists construct databases from scratch. Others make detailed visualizations that illuminate hidden patterns. Using data, journalists can uncover new areas for potential stories, discover systemic patterns, verify claims, and address issues with greater transparency and detail.
Data Journalism 101: A Brief Survey
Data Journalism 101: A Brief Survey
Flex.io
Introduction Why big data is required Big data Big data facts Big data 3 V’s Why big data is important Examples where big data is used Analytics Approach to analytic development Analysis of data through senser. Analytics can help in Big data analytics Big data analytics in practice How big data is used in twitter to get patterns Human resource cost and risk of big data. Big data analytics tools and technology Conclusions references
Bigdata
Bigdata
PANKAJ PANDEY
Data journalism in the second machine age
Data journalism in the second machine age
Alexander Howard
Introduction to big data : - use case - what is Big Data - why is the future so bright for Big Data
Introduction to big data
Introduction to big data
Nathan Krasney
Prototype Demo from Storm King Analytics
20.08 vumbua demo
20.08 vumbua demo
Dan Evans
A presentation for the Developing Caribbean conference. developingcaribbean.org
Data journalism Overview
Data journalism Overview
Alexander Howard
Text Analytics Past, Present & Future: keynote presentation by Seth Grimes at the TEMIS User Conference, Barcelona, July 9, 2009.
Text Analytics Past, Present & Future
Text Analytics Past, Present & Future
Seth Grimes
Ml master class for CFA Dallas
Ml master class for CFA Dallas
Ml master class for CFA Dallas
QuantUniversity
Open data, big data, small data - what's the difference? Do you work with data? Small and medium sized businesses are pressured to transform traditional practices into data-driven models. In this presentation, CEO, Ugur Kadakal explains the big data v. small data and the insights we can pull from each for better business intelligence. Do you work with data, or just like learning about it? Check out our blog on www.Visart.io for data stories and other resources.
Big Data v. Small data - Rules to thumb for 2015
Big Data v. Small data - Rules to thumb for 2015
Visart
Financial Technology companies are on the rise, and big data is here to help. Jan 30, 2017 - Oasis500 Bootcamp session for FinTech Startups
Big Data in FinTech
Big Data in FinTech
Mahmoud Jalajel
The informatic challenges of 2013 and beyond are bigger than any one company. This presentation provides an overview of a number of recent, successful crowd-sourced and community-driven applications that combine ‘Big Data’ approaches with Community involvement. The speaker dives into the numbers and specific details of Factual’s approach to large-scale, multi-authored data collection and aggregation, and how the company’s data ethos and business positioning dictates both the shape of its technology and its vision of large-scale, collective data ecosystems.
Bigger than Any One: Solving Large Scale Data Problems with People and Machines
Bigger than Any One: Solving Large Scale Data Problems with People and Machines
Tyler Bell
Computational Journalism Bangalore , Oct 2009
Computational Journalism
Computational Journalism
ADGP, Public Grivences, Bangalore
https://www.irjet.net/archives/V6/i6/IRJET-V6I6751.pdf
IRJET- Milestones and Challenges of Fake News Detection using Digital Forensi...
IRJET- Milestones and Challenges of Fake News Detection using Digital Forensi...
IRJET Journal
Big Data and Hadoop
Big data analytics with Apache Hadoop
Big data analytics with Apache Hadoop
Suman Saurabh
Tijdens de vierde sessie van de vierdelige reeks Master Minds on Data Science hield Eric van Tol een presentatie over businesscases en verdienmodellen.
Eric van Tol - Businesscases & Verdienmodellen
Eric van Tol - Businesscases & Verdienmodellen
Media Perspectives
A look back at how the practice of data science has evolved over the years, modern trends, and where it might be headed in the future. Starting from before anyone had the title "data scientist" on their resume, to the dawn of the cloud and big data, and the new tools and companies trying to push the state of the art forward. Finally, some wild speculation on where data science might be headed. Presentation given to Seattle Data Science Meetup on Friday July 24th 2015.
The Evolution of Data Science
The Evolution of Data Science
Kenny Daniel
this ppt shows Appllication of big data in recent scenario
Ppt for Application of big data
Ppt for Application of big data
Prashant Sharma
Information access can be limited in some situations where traditional media outlets can’t cover the events due to geographical limitations or censorship. Examples of those situations can be civil unrest, war or natural disasters. In these situations citizen journalism replace or complement traditional media in the documentation of such events. Microblogging services such as Twitter have become of great use in these scenarios due their mobile nature and multimedia capabilities. In this research we propose a method to create searchable, semantically annotated news articles from tweets in an automated way using the cloud of linked open data.
News construction from microblogging post using open data
News construction from microblogging post using open data
Francisco Berrizbeitia
Similaire à Keepr @DataGotham 2013
(20)
Minne analytics presentation 2018 12 03 final compressed
Minne analytics presentation 2018 12 03 final compressed
Minne analytics presentation 2018 12 03 final compressed
Minne analytics presentation 2018 12 03 final compressed
Data Journalism 101: A Brief Survey
Data Journalism 101: A Brief Survey
Bigdata
Bigdata
Data journalism in the second machine age
Data journalism in the second machine age
Introduction to big data
Introduction to big data
20.08 vumbua demo
20.08 vumbua demo
Data journalism Overview
Data journalism Overview
Text Analytics Past, Present & Future
Text Analytics Past, Present & Future
Ml master class for CFA Dallas
Ml master class for CFA Dallas
Big Data v. Small data - Rules to thumb for 2015
Big Data v. Small data - Rules to thumb for 2015
Big Data in FinTech
Big Data in FinTech
Bigger than Any One: Solving Large Scale Data Problems with People and Machines
Bigger than Any One: Solving Large Scale Data Problems with People and Machines
Computational Journalism
Computational Journalism
IRJET- Milestones and Challenges of Fake News Detection using Digital Forensi...
IRJET- Milestones and Challenges of Fake News Detection using Digital Forensi...
Big data analytics with Apache Hadoop
Big data analytics with Apache Hadoop
Eric van Tol - Businesscases & Verdienmodellen
Eric van Tol - Businesscases & Verdienmodellen
The Evolution of Data Science
The Evolution of Data Science
Ppt for Application of big data
Ppt for Application of big data
News construction from microblogging post using open data
News construction from microblogging post using open data
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Keepr @DataGotham 2013
1.
keepr Algorithm for data
mining breaking news using NLP and ad hoc network analysis Hong Qu @hqu www.keepr.com DataGotham September 12, 2013
2.
3.
Twitter, Credibility and
The Watertown Manhunt
4.
Computational Journalism News reporters
are ● overworked ● underpaid ● …a dying breed Journalism is ● slow ● embracing data ● in need of Big Data tools
5.
Computers count really, really
fast!
6.
7.
Humans are way
better at at making value judgements and telling stories
8.
Andy Carvin -
“a one-man Twitter news bureau”
9.
Social media and
the Boston bombings: When citizens and journalists cover the same story
10.
Keepr harmonizes with journalism’s
workflow and values
11.
Entity extraction and
Source discovery http://keepr.com/index.php?q=datagotham
12.
13.
What’s next for
keepr? ➔ refine algorithm ➔ ad hoc conversation network analysis ➔ source classification ➔ speed, speed, speed Rolling out a Beta program for newsrooms Sign up at www.keepr.com/beta
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