A novel framework based on bi-objective optimization and LAN2FIS for Twitter sentiment analysis
Bibliographic Data
| ID | 4681000 |
|---|---|
| Authors | R Nagamanjula (0000-0003-0650-136X, Mother Teresa Women's University, corresponding author), A Pethalakshmi |
| Year | 2020 |
| Volume | 10 |
| Issue | 1 |
| Publication date | 2020-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Network Analysis and Mining (JOURNAL) |
| Journal identifiers | ISSN: 1869-5450 • E-ISSN: 1869-5469 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s13278-020-00648-5 |
| OpenAlex | W3032886784 |
| Language | EN |
| Citations received | 4 |
| References cited | 24 |
Data mining · Feature selection · Inference · Machine learning · Sentiment analysis · Social media · World Wide Web · Computer Science · Neural Networks and Applications · Sentiment Analysis and Opinion Mining · Stock Market Forecasting Methods · Artificial Intelligence
| Citations per year | 0.67 |
|---|---|
| Citation span | 2020 - 2022 (3) |
| Highly cited | No |