Call For Papers

Sentiment Analysis is one of the most vital research fields of Natural Language Processing nowadays. It has emerged as an active research field with the proliferation of textual data on the Web especially in social media websites. The past decade has witnessed the rise of the number of social media websites which has led to the production of vast amounts of unstructured text on the Web. This text can be characterized as objective, i.e. containing facts, or subjective i.e. containing opinions and/or sentiments about entities. Being the formation of users, these opinions are of high interest for the organizations (business, government, etc.) responsible for these entities and their enhancement. These entities could be commercial products, government policies, business services, etc. Also, individual users could review these opinions for product comparison and decision making.

In this session, we would like to encourage the submission of long and short research and demo papers including, but not restricted to the following topics related to sentiment analysis:​

• ·  The influence of language and culture on sentiment

  ·  The role of context in sentiment analysis

  ·  Frontiers in sarcasm detection in sentiment analysis

  ·  Annotation methods (crowdsourcing, semi-supervised, etc.)

  ·  Domain and topic dependency of sentiment analysis

  ·  Neural Networks for Sentiment Analysis      

  ·  Resources for sentiment analysis of social media text (annotated corpora, sentiment lexicons).

  ·  Resources for under-resourced languages such as Arabic.​

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Important dates