Sentiment Thesaurus, Synset and Word2Vec Based Improvement in Bigram Model for Classifying Product Reviews-Reference-Cited by-同舟云学术

Sentiment Thesaurus, Synset and Word2Vec Based Improvement in Bigram Model for Classifying Product Reviews

Published:2022-08-06 Issue:6 Volume:3 Page:
ISSN:2661-8907
Container-title:SN Computer Science
language:en
Short-container-title:SN COMPUT. SCI.

Author:

Poomagal S.,Malar B.,Ranganayaki E. M.,Deepika K.,Dheepak G.

Publisher

Springer Science and Business Media LLC

Subject

General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s42979-022-01305-8.pdf

Reference26 articles.

1. Pang B, Lee L, Vaithyanathan S. Thumbs up? Sentiment classification using machine learning techniques. In: Proceedings of Emnlp, p. 79–86, 2002.

2. Salvetti F, Relchenbach C, Lewis S. Opinion polarity identification of movie reviews. In: Computing attitude and affect in text: theory and applications. Chapter 23, p. 303–16.

3. Beineke P, Hastie T, Manning C, Vaithyanathan S. Exploring sentiment summarization. In: AAAI Spring Symposium on Exploring Attitude and Affect in Text: Theories and Applications, 2004.

4. Sahu T, Ahuja S. Sentiment analysis of movie reviews: a study on feature selection and classification algorithms. In: International Conference on Microelectronics, Computing and Communications (MicroCom), p. 1–6, 2016.

5. Bodapati J, Veeranjaneyulu N, Shaik S. Sentiment analysis of movie reviews using LSTMs. Ingénierie des systèmes d information. 2019;24(1):125–9.

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