Natural Language Processing for Social Media Analysis
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 modelling for social media data, text categorization and clustering for social media, social media visual analytics).
Iosif Mporas, University of Hertfordshire, UK, firstname.lastname@example.org
Vasiliki Simaki, Lancaster University, UK, email@example.com
Carita Paradis, Lund University, Sweden, firstname.lastname@example.org
Andreas Kerren, Linnaeus University, Sweden, email@example.com
Michael Paraskevas, TEI of Western Greece, firstname.lastname@example.org
Submission of papers: 28/02/2018
Notification of Acceptance: 19/03/2018
Camera Ready paper: 15/04/2018
For any further information please contact the Organising Committee of NLP4SMA 2018.