Computational Approaches to the Retrieval, Mining and Classification of Affective Texts


As a follow up of the “4th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis” (WASSA 2013) ‐, 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:

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:

or directly via:

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

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)

Read more:

Об авторе Лидия Пивоварова

СПбГУ - старший преподаватель, University of Helsinki - PhD student
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