International Conference on Speech and Computer — Special Session: Natural Language Processing for Social Media Analysis

Date: 12-Sep-2017 — 16-Sep-2017
Location: Hatfield, England, United Kingdom
Web Site:

Call Deadline: 12-Mar-2017

Meeting Description:

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).

Call for Papers:

Submission of Papers:

Authors are invited to submit a full paper not exceeding 10 pages formatted in the LNCS style (see below). The authors are asked to submit their papers using the on-line submission system (

Papers submitted to SPECOM 2017 must not be under review by any other conference or publication during the SPECOM review cycle, and must not be previously published or accepted for publication elsewhere.

The paper format for the review has to be the PDF file with all required fonts included (

Important Dates:

March 12, 2017: Submission of final papers
May 15, 2017: Notification of acceptance
May 26, 2017: Final papers (camera ready) and registration
Sept. 12-16, 2017: Conference date

SPECOM Proceedings are included in the Springer list of forthcoming proceedings for September 2017.

The proceedings will be available to participants at the time of the conference.

For more information please visit

Об авторе Лидия Пивоварова

СПбГУ - старший преподаватель, University of Helsinki - PhD student
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