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

Sudhanshu Kumar, Partha Pratim Roy, Debi Prosad Dogra, Byung-Gyu Kim
11/19/2023
cs.AI

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Abstract

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. \keywords{Sentiment Analysis, Machine Learning, Lexicon-based approach, Deep Learning, Natural Language Processing}

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Cite this paper

@article{kumar2023comprehensive,
  title  = {A Comprehensive Review on Sentiment Analysis: Tasks, Approaches and Applications},
  author = {Sudhanshu Kumar and Partha Pratim Roy and Debi Prosad Dogra and Byung-Gyu Kim},
  year   = {2023},
  eprint = {2311.11250},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2311.11250v1}
}

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