Paper Info
Title
Two-Phase Computing Model For Chinese Microblog Sentimental Analysis
Abstract
The sentimental analysis of Chinese microblog is a crucial task for social network related applications, such as internet marketing, public opinion monitoring, etc. This paper proposes a two-phase computing model for microblog sentimental analysis, including topic classification for posts and topic sentimental analysis respectively. In the first phase, the Latent Dirichlet Allocation(LDA) model is employed into our model for topic classification. The topics of posts are scattered into the microblogs, it has some uncertainty. The LDA model can classify the fuzzy topics. In the second phase, sentimental dictionary and emotion knowledge are performed into our model for topic sentimental analysis. HowNet as the sentimental dictionary is used to the sentimental tendency analysis. The emotion knowledge mainly uses symbols in microblog. Besides of sentimental knowledge, the sliding window for sentimental analysis also introduced into the model as the modification at the sentence level. The experimental results show that this method achieves good performance.
Year
DOI
Venue
2016
10.1007/978-3-319-40973-3_40
DATA MINING AND BIG DATA, DMBD 2016
Keywords
Field
DocType
Sentimental analysis, Knowledge base, LDA model, Sliding window
Latent Dirichlet allocation,Social network,Computer science,Artificial intelligence,Knowledge base,World Wide Web,Social media,Sliding window protocol,Information retrieval,Sentiment analysis,Microblogging,Digital marketing,Sentence,Machine learning
Conference
Volume
ISSN
Citations 
9714
0302-9743
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Jianyong Duan16613.85
Chao Wang2649.40
Mei Zhang300.34
Hui Liu400.34