Sentiment and Subjectivity: Techniques and applications


Abstract
 
With the rapidly increasing consumer-generated content on the web, there is great demand for automatic analysis of the sentiment expressed in this content. Companies are interested in how the consumers rate and evaluate their products and services, politicians are interested in perceptions of their campaigns, and regular web users are interested in customer reviews when shopping online.

Over the past several years, the number of studies in sentiment and subjectivity detection has increased accordingly, and so have its applications.

I will give an overview of some of the most widely used techniques, available corpora and data sets, and present some applications of these techniques.



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