Name
Title | ||
|---|---|---|
Towards an integrated pipeline for aspect-based sentiment analysis in various domains. |
Abstract | ||
|---|---|---|
This paper presents an integrated ABSA pipeline for Dutch that has been developed and tested on qualitative user feedback coming from three domains: retail, banking and human resources. The two latter domains provide service-oriented data, which has not been investigated before in ABSA. By performing in-domain and cross-domain experiments the validity of our approach was investigated. We show promising results for the three ABSA subtasks, aspect term extraction, aspect category classification and aspect polarity classification. |
Year | Venue | Field |
|---|---|---|
2017 | WASSA@EMNLP | Data science,Computer science,Sentiment analysis |
DocType | Citations | PageRank |
Conference | 1 | 0.39 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Orphée De Clercq | 1 | 117 | 9.61 |
| Els Lefever | 2 | 166 | 23.26 |
| Gilles Jacobs | 3 | 4 | 2.88 |
| Tijl Carpels | 4 | 1 | 0.39 |
| Veronique Hoste | 5 | 138 | 16.92 |