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Canada, H2Y 1W7
Phone: 514.733.8884

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Join us for a tutorial on Natural Language Processing for Social Media presented by CEO of NLP tech., at Canadian AI 2016 conference, university of Victoria, B.C., May 31 2016


We proudly invite you to attend a tutorial organized by Canadian AI 2016 conference, university of Victoria, VICTORIA, B.C. Canada from May 31 to June 3, 2016.
AI 2016 will include a set of distinguished tutorial sessions on May 31st. Each one is a three-hour-long presentation describing the state-of-the-art algorithms, best practices, and challenges in an area of artificial intelligence. This year, we are pleased to announce the following tutorial on Natural Language Processing for Social Media, which will be presented by Dr. Atefeh Farzindar, CEO of NLP Technologies and Dr. Diana Inkpen, from the University of Ottawa. For more information on CAI and registration, please visit

Natural Language Processing for Social Media

Instructors: Atefeh Farzindar and Diana Inkpen
May 31, 2016– Morning

The content of the tutorial will be based on the recent book, co-authored by Dr. Farzindar and Dr. Inkpen, in Natural Language Processing for Social Media, Synthesis Lectures on Human Language Technologies published by Morgan and Claypool publishers, 2015.
This tutorial provides an overview of the state-of-the-art in Artificial Intelligence (AI) algorithms and challenges of natural language processing (NLP) tools, and of the methods used in processing non-traditional information such as social media content. AI and NLP techniques are critical to the analysis process and how these can be applied to real world challenges created by the social emergence of Big Data. We will focus on innovative applications of NLP such as opinion mining and emotion analysis, geo-location detection, event and topic detection, entity linking and disambiguation, summarization and machine translation for social media. We believe that AI methods and information diffusion in social networks need to be combined with the linguistic and content analysis. This provides the opportunity for new applications that use the information publicly available in various fields, such as social media monitoring for healthcare, finance, security and defence, business intelligence, and politics. We emphasize the importance of this dynamic discipline and the great potential of NLP in the coming decade, in the context of changes in mobile technology, wearable technology, cloud computing and social networking.