Opinion Mining aims to automatically acquire useful opinioned information and knowledge in subjective texts. Research of Chinese Opinioned Mining requires the support of annotated corpus for Chinese opinioned-subjective texts. To facilitate the work of corpus annotators, this paper implements an active learning based annotation tool for Chinese opinioned elements which can identify topic, senti...

Users commonly use Web 2.0 platforms to post their opinions and their predictions about future events (e.g., the movement of a stock). Therefore, opinion mining can be used as a tool for predicting future events. Previous work on opinion mining extracts from the text only the polarity of opinions as sentiment indicators. We observe that a typical opinion post also contains temporal references w...

Identifying domain-dependent opinion words is a key problem in opinion mining and has been studied by several researchers. However, existing work has been focused on adjectives and to some extent verbs. Limited work has been done on nouns and noun phrases. In our work, we used the feature-based opinion mining model, and we found that in some domains nouns and noun phrases that indicate product ...

Word of mouth (WOM) affects the buying behavior of information receivers stronger than advertisements. Opinion leaders further affect others in a specific domain through their new information, ideas and opinions. Identification of opinion leaders has become one of the most important tasks in the field of WOM mining. Existing work to find opinion leaders is based mainly on quantitative approache...