A sentiment analysis has received a lot of attention from researchers working in the fields of
natural language processing and text mining. However, there is a lack of annotated data …

The proliferation of social media in the recent past has provided end users a powerful
platform to voice their opinions. Businesses (or similar entities) need to identify the polarity of …

Domain-oriented sentiment lexicons are widely used for fine-grained sentiment analysis on
reviews; therefore, the automatic construction of domain-oriented sentiment lexicon is a …

In recent years, many studies have been conducted to deal with automatic construction of
domain-oriented sentiment lexicon. However, most of the attempts rely on only the …

The lack of reliable Chinese sentiment resources limits research progress on Chinese
sentiment classification. However, there are many freely available English sentiment …

Opinion mining is a challenging task to identify the opinions or sentiments underlying user
generated contents, such as online product reviews, blogs, discussion forums, etc. Previous …

Considers undetectable and redundant faults in synchronous sequential circuits. The
authors state and formally prove results regarding the types of faults identified as …

Most cross-domain sentiment classification techniques consider a domain as a whole set of
opinionated instances for training. However, many online shop** websites organize their …

This paper describes an adapted information bottleneck approach for construction of domain-
oriented sentiment lexicon. The basic idea is to use three kinds of relationships (WWinter …

Sentiment analysis is an important research domain for NLP, and currently it mainly focuses
on text context. While our research concentrates on the thinking modes, which influence the …