SPECOM

 The exploitation of natural language from social media data is an intriguing task in the fields of text mining and natural language processing (NLP), with plenty of applications in social sciences and social media analytics. In this special session, we call for research papers in the broader field of NLP techniques for social media analysis. The topics of interest include (but are not limited to): sentiment analysis in social media and beyond (e.g., stance identification, sarcasm detection, opinion mining), computational sociolinguistics (e.g., identification of demographic information such as gender, age), and NLP tools for social media mining (e.g., topic modeling for social media data, text categorization and clustering for social media).

WWW: http://specom.nw.ru/sma2017

The special session organized by:

• Vasiliki Simaki and Carita Paradis (Lund University, Sweden)
• Fragkiskos D. Malliaros (UC San Diego, USA)
• Andreas Kerren (Linnaeus University, Sweden)
• Michalis Vazirgiannis (École Polytechnique, France)

Vasiliki Simaki, vasiliki.simaki@englund.lu.se

Fragkiskos D. Malliaros, fmalliaros@ucsd.edu