A review text is normally represented as a bag-of-words (BOW) in sentiment classification.
Such a simplified BOW model has fundamental deficiencies in modeling some complex …

Social media is a major platform for opinion sharing. In order to better understand and
exploit opinions on social media, we aim to classify users with opposite opinions on a topic …

In sentiment classification, conventional supervised approaches heavily rely on a large
amount of linguistic resources, which are costly to obtain for under-resourced languages. To …

通过分析微博的结构特点, 提出了一种基于语义分析的中文微博情感分类方法.
首先构建了表情符号情感词典和网络用语情感词典; 然后结合词典资源对微博文本进行依存句法 …

提出了一种中文微博情感词典构建方法. 采用上下文熵的网络用语发现策略, 通过TF-IDF (
termfrequencyinversedocumentfrequency) 进行二次过滤得到网络用语; 利用SO-PMI …

The researches of semantics (positive, negative, neutral) are performed for a long time and
they are very important for many commercial applications, many scientific works, etc. In this …

We have already survey many significant approaches for many years because there are
many crucial contributions of the sentiment classification which can be applied in everyday …

We have already studied a data mining field and a natural language processing field for
many years. There are many significant relationships between the data mining and the …

Sentiment classification is significant in everyday life, such as in political activities,
commodity production, and commercial activities. In this survey, we have proposed a new …