Challenges and Issues in Sentiment Analysis: A Comprehensive Survey

Author:

Raghunathan Nilaa1ORCID,Saravanakumar Kandasamy1ORCID

Affiliation:

1. Department of Computer Science, Vellore Institute of Technology, Vellore, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference171 articles.

1. A semi-supervised approach to sentiment analysis of tweets during the 2022 Philippine presidential election;macrohon;IEEE Access,2022

2. W2VLDA: Almost unsupervised system for Aspect Based Sentiment Analysis

3. Semi-supervised Text Annotation for Hate Speech Detection using K-Nearest Neighbors and Term Frequency-Inverse Document Frequency

4. Bootstrapping semi-supervised annotation method for potential suicidal messages;caicedo;Internet Interventions,2022

5. Sentiment analysis of financial news using unsupervised approach

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1. SentiSync: A Robust System for Sentiment Detection and Analyzing the Mental Health Care with ML-Driven Algorithms;International Journal of Advanced Research in Science, Communication and Technology;2024-02-05

2. Sentiment analysis in digital learning: Comparing Lexical, Traditional machine learning, and deep learning approaches;2023 14th International Conference on Intelligent Systems: Theories and Applications (SITA);2023-11-22

3. Chinese Multicategory Sentiment of E-Commerce Analysis Based on Deep Learning;Electronics;2023-10-15

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