Machine Learning Techniques for Sentiment Analysis of Code-Mixed and Switched Indian Social Media Text Corpus - A Comprehensive Review-Reference-Cited by-同舟云学术

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Machine Learning Techniques for Sentiment Analysis of Code-Mixed and Switched Indian Social Media Text Corpus - A Comprehensive Review

Published:2022 Issue:2 Volume:13 Page:
ISSN:2156-5570
Container-title:International Journal of Advanced Computer Science and Applications
language:en
Short-container-title:IJACSA

Author:

Ahmad Gazi Imtiyaz,Singla Jimmy,Ali Anis,Reshi Aijaz Ahmad,Salameh Anas A.

Publisher

The Science and Information Organization

Subject

General Computer Science

Link

http://thesai.org/Downloads/Volume13No2/Paper_54-Machine_Learning_Techniques_for_Sentiment_Analysis.pdf

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A survey on NLP tasks, resources and techniques for low-resource Telugu-English code-mixed text;ACM Transactions on Asian and Low-Resource Language Information Processing;2024-09-10

2. RETRACTED: DL-TBAM: Deep Learning Transformer based Architecture Model for Sentiment Analysis on Tamil-English Dataset;Journal of Intelligent & Fuzzy Systems;2024-04-18

3. A Framework to Find Single Language Version Using Pattern Analysis in Mixed Script Queries;2024 2nd International Conference on Disruptive Technologies (ICDT);2024-03-15

4. Sentiment Analysis in Low-Resource Settings: A Comprehensive Review of Approaches, Languages, and Data Sources;IEEE Access;2024

5. Preparation of Rich Lists of Research Gaps in the Specific Sentiment Analysis Tasks of Code-mixed Indian Languages;SN Computer Science;2023-12-19

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