Recent years have witnessed the explosive growth of online social media. Weibo, a Twitter-
like online social network in China, has attracted more than 300 million users in less than …

As people increasingly use emoticons in text in order to express, stress, or disambiguate
their sentiment, it is crucial for automated sentiment analysis tools to correctly account for …

Twitter is a microblogging service where worldwide users publish their feelings. However,
sentiment analysis for Twitter messages (tweets) is regarded as a challenging problem …

Emoticons have been widely employed to express different types of moods, emotions, and
feelings in microblog environments. They are therefore regarded as one of the most …

Online media, such as blogs and social networking sites, generate massive volumes of
unstructured data of great interest to analyze the opinions and sentiments of individuals and …

With people increasingly using emoticons in written text on the Web in order to ex-press,
stress, or disambiguate their sentiment, it is crucial for automated sentiment analysis tools to …

Due to the diversity and variability of Chinese syntax and semantics, accurately identifying
and distinguishing individual emotions from online texts is challenging. To overcome this …

Microblogging has become a widely-spread platform of human communication. The massive
amount of opinion-rich data in microblogging is helpful to analyze and manage public …

Due to the huge popularity of microblogging services, microblogs have become important
sources of customer opinions. Sentiment analysis systems can provide useful knowledge to …

Sentiment analysis of online documents such as news articles, blogs and microblogs has
received increasing attention in recent years. In this article, we propose an efficient algorithm …