ملخص: Previous work on opinion/sentiment mining focuses only on sentiment classification with the postulation that topics are identified a prior. However, this assumption often fails in reality. In advertising, topics on which users are commenting are crucial as corresponding advertisements can only be promoted when advertisers have the idea of what users are referring to. In this paper, we propose a rule-based approach to extracting topics from opinion sentences given these sentences identified from texts in advance. We build up a sentiment dictionary and define several rules based on the syntactic roles of words using the Dependence Grammar which is considered to be more suitable for Chinese natural language parsing. The experiments show encouraging results.

لغة: إنجليزية