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

B. Yan; B. Zhang; H. Y. Su; H. Zheng

doi:10.1201/b18049-27

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

B. Yan, B. Zhang, H. Y. Su, H. Zheng

School of Computer Science and Technology

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	Future Communication, Information and Computer Science - Proceedings of the International Conference on Future Communication, Information and Computer Science, FCICS 2014
Editors	Dawei Zheng
Publisher	CRC Press/Balkema
Pages	115-118
Number of pages	4
ISBN (Print)	9781138026537
DOIs	https://doi.org/10.1201/b18049-27
Publication status	Published - 2015
Event	International Conference on Future Communication, Information and Computer Science, FCICS 2014 - Beijing, China Duration: 22 May 2014 → 23 May 2014

Publication series

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

Conference

Conference	International Conference on Future Communication, Information and Computer Science, FCICS 2014
Country/Territory	China
City	Beijing
Period	22/05/14 → 23/05/14

Keywords

Chinese microblog
Naive Bayesian algorithm
Sentiment classification
Users’ reviews

Access to Document

10.1201/b18049-27

Cite this

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

Yan, B. ; Zhang, B. ; Su, H. Y. et al. / Chinese microblog sentiment classification considering users’ reviews based on naive Bayesian algorithm. Future Communication, Information and Computer Science - Proceedings of the International Conference on Future Communication, Information and Computer Science, FCICS 2014. editor / Dawei Zheng. CRC Press/Balkema, 2015. pp. 115-118 (Future Communication, Information and Computer Science - Proceedings of the International Conference on Future Communication, Information and Computer Science, FCICS 2014).

@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",

}

Yan, B, Zhang, B, Su, HY & 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. Future Communication, Information and Computer Science - Proceedings of the International Conference on Future Communication, Information and Computer Science, FCICS 2014, CRC Press/Balkema, pp. 115-118, International Conference on Future Communication, Information and Computer Science, FCICS 2014, Beijing, China, 22/05/14. https://doi.org/10.1201/b18049-27

Chinese microblog sentiment classification considering users’ reviews based on naive Bayesian algorithm. / Yan, B.; Zhang, B.; Su, H. Y. et al.
Future Communication, Information and Computer Science - Proceedings of the International Conference on Future Communication, Information and Computer Science, FCICS 2014. ed. / Dawei Zheng. CRC Press/Balkema, 2015. p. 115-118 (Future Communication, Information and Computer Science - Proceedings of the International Conference on Future Communication, Information and Computer Science, FCICS 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Chinese microblog sentiment classification considering users’ reviews based on naive Bayesian algorithm

AU - Yan, B.

AU - Zhang, B.

AU - Su, H. Y.

AU - Zheng, H.

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

KW - Chinese microblog

KW - Naive Bayesian algorithm

KW - Sentiment classification

KW - Users’ reviews

UR - http://www.scopus.com/inward/record.url?scp=84940521705&partnerID=8YFLogxK

U2 - 10.1201/b18049-27

DO - 10.1201/b18049-27

M3 - Conference contribution

AN - SCOPUS:84940521705

SN - 9781138026537

T3 - Future Communication, Information and Computer Science - Proceedings of the International Conference on Future Communication, Information and Computer Science, FCICS 2014

SP - 115

EP - 118

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

A2 - Zheng, Dawei

PB - CRC Press/Balkema

T2 - International Conference on Future Communication, Information and Computer Science, FCICS 2014

Y2 - 22 May 2014 through 23 May 2014

ER -

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

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

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this