@inproceedings{e047b3f9b20841e58c5bbd25cca042ff,
title = "Chinese microblog sentiment classification considering users{\textquoteright} reviews based on naive Bayesian algorithm",
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{\textquoteright} reviews, this research posits this Sentiment Classification which is a novel method of attaching microblog users{\textquoteright} reviews to the target microblog in order to improve the accuracy of sentiment classification.",
keywords = "Chinese microblog, Naive Bayesian algorithm, Sentiment classification, Users{\textquoteright} reviews",
author = "B. Yan and B. Zhang and Su, {H. Y.} and H. Zheng",
note = "Publisher Copyright: {\textcopyright} 2015 Taylor & Francis Group, London.; International Conference on Future Communication, Information and Computer Science, FCICS 2014 ; Conference date: 22-05-2014 Through 23-05-2014",
year = "2015",
doi = "10.1201/b18049-27",
language = "English",
isbn = "9781138026537",
series = "Future Communication, Information and Computer Science - Proceedings of the International Conference on Future Communication, Information and Computer Science, FCICS 2014",
publisher = "CRC Press/Balkema",
pages = "115--118",
editor = "Dawei Zheng",
booktitle = "Future Communication, Information and Computer Science - Proceedings of the International Conference on Future Communication, Information and Computer Science, FCICS 2014",
}