Sentiment classification in text documents is an active data mining research topic in opinion retrieval and analysis. Different from previous studies concentrating on the developm...
Dong (Haoyuan) Li, Anne Laurent, Pascal Poncelet, ...
Opinion mining received well attention in finding personal opinions from user generated content. These opinions contain valuable information for improving and/or comparing the prod...
Dong (Haoyuan) Li, Anne Laurent, Mathieu Roche, Pa...
This paper presents a parse-and-paraphrase paradigm to assess the degrees of sentiment for product reviews. Sentiment identification has been well studied; however, most previous ...
In this paper, we investigate structured models for document-level sentiment classification. When predicting the sentiment of a subjective document (e.g., as positive or negative)...
This paper presents Q-WordNet, a lexical resource consisting of WordNet senses automatically annotated by positive and negative polarity. Polarity classification amounts to decide...