mlsanityData to 14 Oct 2026

A Comprehensive Review on Sentiment Analysis: Tasks, Approaches and Applications

arXiv 2311.11250 ↗First posted 19 Nov 2023cs.AIcited by 3

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Abstract (arXiv)

Sentiment analysis (SA) is an emerging field in text mining. It is the process of computationally identifying and categorizing opinions expressed in a piece of text over different social media platforms. Social media plays an essential role in knowing the customer mindset towards a product, services, and the latest market trends. Most organizations depend on the customer's response and feedback to upgrade their offered products and services. SA or opinion mining seems to be a promising research area for various domains. It plays a vital role in analyzing big data generated daily in structured and unstructured formats over the internet. This survey paper defines sentiment and its recent research and development in different domains, including voice, images, videos, and text. The challenges and opportunities of sentiment analysis are also discussed in the paper. keywordsSentiment Analysis, Machine Learning, Lexicon-based approach, Deep Learning, Natural Language Processing

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 13 of its 124 references that are in the map. First posted on arXiv 19 Nov 2023.

Builds on

13 of 124 references.

References · 13

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2013Efficient Estimation of Word Representations in Vector Spacecited by 4,375
  3. 2013Distributed Representations of Words and Phrases and their Compositionalitycited by 3,474
  4. 2018Deep contextualized word representationscited by 2,290
  5. 2017Deep Learning for Hate Speech Detection in Tweetscited by 180
  6. 2018Multi-attention Recurrent Network for Human Communication Comprehensioncited by 89
  7. 2016A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networkscited by 33
  8. 2018Cross Lingual Speech Emotion Recognition: Urdu vs. Western Languagescited by 25
  9. 2021The Multimodal Sentiment Analysis in Car Reviews (MuSe-CaR) Dataset: Collection, Insights and Improvementscited by 22
  10. 2018Joint Aspect and Polarity Classification for Aspect-based Sentiment Analysis with End-to-End Neural Networkscited by 19
  11. 2016From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment Predictioncited by 12
  12. 2014Visual Sentiment Prediction with Deep Convolutional Neural Networkscited by 6
1 more
  1. 2019Incorporating End-to-End Speech Recognition Models for Sentiment Analysiscited by 5

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Cited by year

Citing papers per year: 2024: 1; 2025: 2.

3 papers.

  1. 2024Turning Generative Models Degenerate: The Power of Data Poisoning Attackscited by 9
  2. 2025Performance Evaluation of Emotion Classification in Japanese Using RoBERTa and DeBERTacited by 0
  3. 2025Named Entity Recognition for the Kurdish Sorani Language: Dataset Creation and Comparative Analysiscited by 0