Chinese microblog sentiment classification considering users’ reviews based on naive Bayesian algorithm

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Nowadays, with the rapid development of social networks, community-oriented Web sentiment analysis technology has gradually become a hot topic in the field of data mining. Being concise and flexible, Chinese microblog poses new challenges for sentiment analysis. This paper proposes an approach to classify Chinese microblog sentiments into positive and negative by the plain Naive Bayesian algorithm. Based on data preprocessing, sentiment lexicon construction, combining element of users’ reviews, this research posits this Sentiment Classification which is a novel method of attaching microblog users’ reviews to the target microblog in order to improve the accuracy of sentiment classification.

Original languageEnglish
Title of host publicationFuture Communication, Information and Computer Science - Proceedings of the International Conference on Future Communication, Information and Computer Science, FCICS 2014
EditorsDawei Zheng
PublisherCRC Press/Balkema
Pages115-118
Number of pages4
ISBN (Print)9781138026537
DOIs
Publication statusPublished - 2015
EventInternational Conference on Future Communication, Information and Computer Science, FCICS 2014 - Beijing, China
Duration: 22 May 201423 May 2014

Publication series

NameFuture Communication, Information and Computer Science - Proceedings of the International Conference on Future Communication, Information and Computer Science, FCICS 2014

Conference

ConferenceInternational Conference on Future Communication, Information and Computer Science, FCICS 2014
Country/TerritoryChina
CityBeijing
Period22/05/1423/05/14

Keywords

  • Chinese microblog
  • Naive Bayesian algorithm
  • Sentiment classification
  • Users’ reviews

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Yan, B., Zhang, B., Su, H. Y., & Zheng, H. (2015). Chinese microblog sentiment classification considering users’ reviews based on naive Bayesian algorithm. In D. Zheng (Ed.), Future Communication, Information and Computer Science - Proceedings of the International Conference on Future Communication, Information and Computer Science, FCICS 2014 (pp. 115-118). (Future Communication, Information and Computer Science - Proceedings of the International Conference on Future Communication, Information and Computer Science, FCICS 2014). CRC Press/Balkema. https://doi.org/10.1201/b18049-27