Comprehensive Study on Lexicon-based Ensemble Classification Sentiment Analysis
We propose a novel method for counting sentiment orientation that outperforms supervised learning approaches in time and memory complexity and is not statistically significantly different from them in accuracy. Our method consists of a novel approach to generating unigram, bigram and trigram lexicon...
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| Автори: | , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
MDPI AG
2015-12-01
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| Серія: | Entropy |
| Предмети: | |
| Онлайн доступ: | http://www.mdpi.com/1099-4300/18/1/4 |
| Теги: |
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