Name
Title | ||
|---|---|---|
Supervised and Unsupervised Aspect Category Detection for Sentiment Analysis with Co-occurrence Data. |
Abstract | ||
|---|---|---|
Using online consumer reviews as electronic word of mouth to assist purchase-decision making has become increasingly popular. The Web provides an extensive source of consumer reviews, but one can hardly read all reviews to obtain a fair evaluation of a product or service. A text processing framework that can summarize reviews, would therefore be desirable. A subtask to be performed by such a frame... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TCYB.2017.2688801 | IEEE Transactions on Cybernetics |
Keywords | Field | DocType |
Sentiment analysis,Data mining,Decision making,Companies,Mobile handsets,Cybernetics,Mouth | Computer science,Sentiment analysis,Baseline (configuration management),Co-occurrence,Electronic word of mouth,Association rule learning,Artificial intelligence,Machine learning,Cybernetics,Text processing | Journal |
Volume | Issue | ISSN |
48 | 4 | 2168-2267 |
Citations | PageRank | References |
8 | 0.44 | 14 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kim Schouten | 1 | 161 | 15.79 |
| Onne van der Weijde | 2 | 8 | 0.44 |
| Flavius Frasincar | 3 | 1367 | 117.14 |
| Rommert Dekker | 4 | 763 | 101.60 |