Name
Title | ||
|---|---|---|
Sentiment Analysis of Weibo Comment Texts Based on Extended Vocabulary and Convolutional Neural Network. |
Abstract | ||
|---|---|---|
In the era of big data and Internet, social network platforms, blogs, and recommender systems generate thousands of subjective information every day. The emotional content of these information may be related to books, characters, commodities, activities and so on. Analyzing and mining subjective emotional information is conducive to personal decision making, enterprise reform, and government’s public opinion regulation. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.procs.2019.01.239 | Procedia Computer Science |
Keywords | Field | DocType |
Weibo sentiment analysis,convolution neural network,extended vocabulary,word2vec | Recommender system,Social network,Information retrieval,Sentiment analysis,Convolutional neural network,Computer science,Pooling,Artificial intelligence,Vocabulary,Big data,Machine learning,The Internet | Conference |
Volume | ISSN | Citations |
147 | 1877-0509 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoyilei Yang | 1 | 0 | 0.34 |
| Shuaijing Xu | 2 | 7 | 2.40 |
| Hao Wu | 3 | 143 | 18.69 |
| Rongfang Bie | 4 | 547 | 68.23 |