Sentiment classification aims to automatically predict sentiment polarity (e.g., positive or negative) of users publishing sentiment data (e.g., reviews, blogs). Although traditio...
We investigated the dictionary-based query translation method combining the translation disambiguation process using statistic cooccurrence information trained from the provided c...
We are developing tools to support a conversational metaphor for requirements definition and analysis. Our conversational model consists of three components: (1) a hypertextual re...
The explosion of Web opinion data has made essential the need for automatic tools to analyze and understand people’s sentiments toward different topics. In most sentiment analy...
The exponential growth of documents available in the World Wide Web makes it increasingly difficult to discover relevant information on a specific topic. In this context, growing ...