Name
Title | ||
|---|---|---|
GTI at SemEval-2016 Task 5: SVM and CRF for Aspect Detection and Unsupervised Aspect-Based Sentiment Analysis. |
Abstract | ||
|---|---|---|
This paper describes in detail the approach carried out by the GTI research group for SemEval 2016 Task 5: Aspect-Based Sentiment Analysis, for the different subtasks proposed, as well as languages and dataset contexts. In particular, we developed a system for category detection based on SVM. Then for the opinion target detection task we developed a system based on CRFs. Both are built for restaurants domain in English and Spanish languages. Finally for aspect-based sentiment analysis we carried out an unsupervised approach based on lexicons and syntactic dependencies, in English language for laptops and restaurants domains. |
Year | Venue | Field |
|---|---|---|
2016 | SemEval@NAACL-HLT | SemEval,English language,Sentiment analysis,Computer science,Support vector machine,Speech recognition,Artificial intelligence,Natural language processing,Syntax,CRFS,Aspect detection |
DocType | Citations | PageRank |
Conference | 5 | 0.43 |
References | Authors | |
6 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| tamara alvarezlopez | 1 | 53 | 4.09 |
| Jonathan Juncal-Martínez | 2 | 66 | 5.62 |
| Milagros Fernández Gavilanes | 3 | 51 | 6.01 |
| Enrique Costa-Montenegro | 4 | 343 | 26.83 |
| Francisco J González Castaño | 5 | 86 | 12.36 |