Twitter Sentiment Analysis Based on Neural Network Techniques-Reference-Cited by-同舟云学术

Twitter Sentiment Analysis Based on Neural Network Techniques

Published:2022 Issue: Volume: Page:33-48
ISSN:2367-4512
Container-title:Lecture Notes on Data Engineering and Communications Technologies
language:
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Author:

Singal Ashutosh,Thiruthuvanathan Michael Moses

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-9416-5_3

Reference20 articles.

1. Rambocas M, Gama J (2013) Marketing research: the role of sentiment analysis. FEP Working Papers 489, Universidade do Porto, Faculdade de Economia do Porto

2. Jose AK, Bhatia N, Krishna S (2010) Twitter sentiment analysis. National Institute of Technology Calicut

3. Pak A, Paroubek P (2010) Twitter as a corpus for sentiment analysis and opinion mining. In: Proceedings of LREC 2010

4. Samsir DI, Edi F, Harahap JM, Jupriaman RKR, Ulya B, Watrianthos R (2021) Naives Bayes algorithm for twitter sentiment analysis. J Phys Conf Ser 1933:012019

5. Batra S, Rao D (2010) Entity based sentiment analysis on Twitter. Stanford University

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