| Title |
Sentiment Analysis using Various Machine Learning Techniques: A Review |
| Authors |
(Pinky Yadav) ; (Madhumita Kathuria) |
| DOI |
https://doi.org/10.5573/IEIESPC.2022.11.2.79 |
| Keywords |
Sentiment analysis; Ensemble techniques; Bi-mode; Emoticons; Machine learning |
| Abstract |
Sentiment analysis is the study of deriving opinions and insights from a tremendous amount of text data present on various social media platforms like Facebook, Twitter, and many others. Nowadays, it is vital for companies and organizations to behold the reviews or public opinion about their product to survive in a competitive market. In sentiment analysis, we categorize this data into nominal labels or polarity, which maps the review to an overall sentiment. This research paper provides a review of various machine learning techniques for sentiment analysis in detail on social media data. Along with the text reviews, the emoticons between the text will also be analyzed to achieve the exact sentiment of the reviewer. |