Computational Approaches to the Retrieval, Mining and Classification of Affective Texts - Special Issue of the Information Processing and Management Journal (Elsevier)

Event Notification Type: 
Call for Papers
Abbreviated Title: 
Computational Approaches to Affective Texts
Contact: 
Alexandra Balahur
Submission Deadline: 
Thursday, 15 August 2013

As a follow up of the “4th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis” (WASSA 2013) ‐ http://optima.jrc.it/wassa2013/index.htm, papers are invited that address the topic of "Computational Approaches to the Retrieval, Mining and Classification of Affective Texts", for a Special Issue of the Information Processing and Management Journal (Elsevier). For more information, please visit: http://optima.jrc.it/wassa2013/cfp/IPM_SI_CfP.pdf

Possible topics for consideration are:
• Lexical semantic resources, corpora and annotations for subjectivity, sentiment and social media analysis; (semi‐)automatic corpora generation and annotation
• Opinion retrieval, extraction, categorization, aggregation and summarization
• Trend detection in social media using subjectivity and sentiment analysis techniques
• Data linking through social networks based on affect‐related NLP methods
• Impact of affective data from social media
• Mass opinion estimation based on NLP and statistical models
• Online reputation management

The deadline for submissions is *15th August 2013* and the contributions should be submitted via the journal’s online submission system available through the journal homepage:

http://www.journals.elsevier.com/information-processing-and-management/

or directly via:

http://ees.elsevier.com/ipm/

choosing “Comp. Approaches” as the article type from the drop down menu.
Before submission, please consult the journal guidelines for authors at:

http://www.elsevier.com/journals/information-processing-and-management/0...

Additional information can be obtained from either of the guest editors:

Dr. Alexandra Balahur (European Commission Joint Research Centre), Dr. Theresa Wilson (John Hopkins University)