Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{144123,
        author = {Kanan Joshi and Dhaval patel and Shyamal Pandya},
        title = {A Survey on Sentiment Analysis Techniques},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {3},
        number = {7},
        pages = {13-15},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=144123},
        abstract = {Sentiment analysis or Opinion Mining is rapidly growing area, in which Sentiments or opinions of customers gathered, analysed & aggregated from text. There several algorithms are available for sentiment analysis. The collected data is pre-processed first & then algorithms are applied on it for polarity detection. Review sites, ecommerce sites collects reviews which needs to be analysed and can identify various analysis on sentiments expressed on those reviews. This paper surveys different methods on sentiment analysis referencing various authors’ publications.},
        keywords = {Opinion mining, Machine learning},
        month = {},
        }