PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Expressing opinion diversity
Andreaa Bizau, Delia Rusu and Dunja Mladenić
In: DiversiWeb 2011, 28 Mar 2011, Hyderabad, India.


The focus of this paper is describing a natural language processing methodology for identifying opinion diversity expressed within text. We achieve this by building a domain-driven opinion vocabulary, in order to be able to identify domain specific words and expressions. As a use case scenario, we consider Twitter comments related to movies, and try to capture opinion diversity by employing an opinion vocabulary, which we generate based on a corpus of IMDb movie reviews.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
Information Retrieval & Textual Information Access
ID Code:8713
Deposited By:Jan Rupnik
Deposited On:21 February 2012