SentNA @ ATE_ABSITA: Sentiment Analysis of Customer Reviews Using Boosted Trees with Lexical and Lexicon-based Features
This paper describes our submission to the tasks on Sentiment Analysis of ATE_ABSITA (Aspect Term Extraction and Aspect-Based Sentiment Analysis). In particular, we focused on Task 3 using an approach based on combining frequency of words with lexicon-based polarities and uses Boosted Trees to predi...
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| Autori principali: | , , |
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| Natura: | Chapter |
| Lingua: | Inglês |
| Pubblicazione: |
Accademia University Press
2020
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| Accesso online: | https://doi.org/10.4000/books.aaccademia.6874 https://hdl.handle.net/20.500.13089/1di5 https://books.openedition.org/aaccademia/6874 |
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