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ECNU at SemEval-2016 Task 5: Extracting Effective Features from Relevant Fragments in Sentence for Aspect-Based Sentiment Analysis in Reviews
- Source :
- SemEval@NAACL-HLT
- Publication Year :
- 2016
- Publisher :
- Association for Computational Linguistics, 2016.
- Subjects :
- Information retrieval
Computer science
business.industry
Sentiment analysis
020207 software engineering
02 engineering and technology
010501 environmental sciences
computer.software_genre
01 natural sciences
SemEval
Task (project management)
0202 electrical engineering, electronic engineering, information engineering
Artificial intelligence
business
computer
Sentence
Natural language processing
0105 earth and related environmental sciences
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)
- Accession number :
- edsair.doi...........0252aaf03410b56ea7702ad2eb09eaa1
- Full Text :
- https://doi.org/10.18653/v1/s16-1058