[Corpora-List] Tutorial EMNLP-Applications of Social Media Text Analysis

Atefeh Farzindar farzindar at nlptechnologies.ca
Mon Sep 7 22:37:35 CEST 2015


<http://nlptechnologies.ca/en/venez-nous-rejoindre-pour-un-tutoriel-sur-les- applications-de-l-analyse-de-texte-des-medias-sociaux-presente-par-dr-farzin dar-presidente-de-nlp-dans-le-cadre-du-congres-emnlp-2015-17-septembre-a-lis bonne-portugal> Join us for a tutorial on Applications of Social Media Text Analysis presented by Dr. Farzindar, CEO of NLP technologies and Dr. Inkpen, prof. at University of Ottawa, EMNLP 2015, September 17, Lisbon, Portugal

Applications of Social Media Text Analysis

Atefeh Farzindar, CEO NLP technologies and Adjunct Professor at University of Montreal

Diana Inkpen, Professor at University of Ottawa

September 18, 2015

Abstract:

Analyzing social media texts is a complex problem that becomes difficult to address using traditional Natural Language Processing (NLP) methods. Our tutorial focuses on presenting new methods for NLP tasks and applications that work on noisy and informal texts, such as the ones from social media. Automatic processing of large collections of social media texts is important because they contain a lot of useful information, due to the in-creasing popularity of all types of social media. Use of social media and messaging apps grew 203 percent year-on-year in 2013, with overall app use rising 115 percent over the same period, as reported by Statista, citing data from Flurry Analytics. This growth means that 1.61 billion people are now active in social media around the world and this is expected to advance to 2 billion users in 2016, led by India. The research shows that consumers are now spending daily 5.6 hours on digital media including social media and mobile internet usage.

At the heart of this interest is the ability for users to create and share content via a variety of platforms such as blogs, micro-blogs, collaborative wikis, multimedia sharing sites, social net-working sites. The unprecedented volume and variety of user-generated content, as well as the user interaction network constitute new opportunities for understanding social behavior and building socially intelligent systems. Therefore it is important to investigate methods for knowledge extraction from social media data. Furthermore, we can use this information to detect and retrieve more related content about events, such as photos and video clips that have caption texts.

More information

http://nlptechnologies.ca/en/venez-nous-rejoindre-pour-un-tutoriel-sur-les-a pplications-de-l-analyse-de-texte-des-medias-sociaux-presente-par-dr-farzind ar-presidente-de-nlp-dans-le-cadre-du-congres-emnlp-2015-17-septembre-a-lisb onne-portugal

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Atefeh Farzindar, Ph.D.

President and CEO

NLP Technologies Inc.

<http://www.nlptechnologies.ca> www.nlptechnologies.ca

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