Fuzzy sentiment analysis using convolutional neural network-Reference-Cited by-同舟云学术

Fuzzy sentiment analysis using convolutional neural network

Published:2021 Issue: Volume: Page:
ISSN:0094-243X
Container-title:INTERNATIONAL CONFERENCE ON MATHEMATICS, COMPUTATIONAL SCIENCES AND STATISTICS 2020
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Author:

Sugiyarto ,Eliyanto Joko,Irsalinda Nursyiva,Fitrianawati Meita

Publisher

AIP Publishing

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0042144

Reference30 articles.

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2. A. Alsaeedi and M. Z. Khan, “A Study on Sentiment Analysis Technique of Twitter Data,” International Journal of Advance Computer Science and Applications 10, 361–374 (2019).

3. M. D. Devika, C. Sunitha, and A. Ganesh, “Sentiment Analysis: A Comparative Study On Different Approaches,” in Fourth International Conference on Recent Trends in Computer Science & Engineering, Procedia Computer Science, 87, 44–49, (2016).

4. M. Taboada, J. Brooke, M. Tofiloski, K. Voll, and M. Stede, “Lexicon-based methods for sentiment analysis,” in Computational linguistics, 37(2), (Association for Computational Linguistics, 2011), pp. 267–307.

5. A. Sadia, F. Khan, and F. Bashir, “An Overview of Lexicon-Based Approach For Sentiment Analysis,” in International Electrical Engineering Conference(IEEC) 3rd. (IEP Centre, Karachi, Pakistan, 2018).

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