Name
Abstract | ||
|---|---|---|
SenticNet 1.0 is one of the most widely used, publicly available resources for concept-based opinion mining. The presented methodology enriches SenticNet concepts with affective information by assigning an emotion label. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/MIS.2013.4 | IEEE Intelligent Systems |
Keywords | Field | DocType |
senticnet concept,affective labels,emotion label,available resource,affective information,enhanced senticnet,concept-based opinion mining,opinion mining,sentiment analysis,natural language processing,data mining,intelligent systems,knowledge discovery,information analysis,internet,feature extraction | Data mining,Intelligent decision support system,Emotion recognition,Computer science,Sentiment analysis,Natural language processing,Artificial intelligence,Knowledge extraction,Sentic computing,Affect (psychology),Vocabulary,The Internet | Journal |
Volume | Issue | ISSN |
28 | 2 | 1541-1672 |
Citations | PageRank | References |
197 | 4.87 | 5 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Soujanya Poria | 1 | 324 | 9.15 |
| Alexander Gelbukh | 2 | 2843 | 269.19 |
| Amir Hussain | 3 | 705 | 29.16 |
| D. Das | 4 | 717 | 76.14 |
| Sivaji Bandyopadhyay | 5 | 929 | 107.30 |
| f s | 6 | 197 | 4.87 |