Name
Title | ||
|---|---|---|
Extraction of emotions from multilingual text using intelligent text processing and computational linguistics. |
Abstract | ||
|---|---|---|
•An effective emotions extraction framework is proposed which extract emotions from social media data.•Emotion extraction system is built based on multiple features groups for better understanding emotion lexicons.•Data collection technique used RSS (Rich Site Summary) feeds of news articles and trending keywords from Twitter.•Naive Bayes Algorithm and Support Vector Machine are used for fine-grained emotions classification of tweets.•Experiments show that the proposed method has a positive effect in comparison to corpus-based features. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.jocs.2017.01.010 | Journal of Computational Science |
Keywords | Field | DocType |
Emotion extraction,Machine learning,Text mining,Twitter,Classification,Natural language processing | Online presence management,Social media,Naive Bayes classifier,Computer science,Sentiment analysis,Computational linguistics,Natural language processing,Artificial intelligence,RSS,Empirical research,Text processing | Journal |
Volume | ISSN | Citations |
21 | 1877-7503 | 15 |
PageRank | References | Authors |
0.74 | 37 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vinay Kumar Jain | 1 | 15 | 0.74 |
| Shishir Kumar | 2 | 78 | 17.06 |
| Steven L. Fernandes | 3 | 314 | 23.39 |