Sentiment Analysis Based on NLP Using Machine Learning Techniques
Jaishree Jain, Shashank Sahu, Neeta Sahu · 2024
The most popular platform for sharing people’s opinions on many subjects is social media. Machine learning is used in sentiment analysis, and without any human intervention, the machine will provide an accurate sentiment of the populace. Text can be classified as good, negative, or neutral via sentiment analysis. Therefore, any business, foundation, or movie critic is free to solicit public opinion and act accordingly. The growth of social networking has made the Internet a promising platform for online learning, idea exchange, and opinion voicing. A significant amount of sentiment data may be found on social media in the form of tweets, blogs, status updates, postings, etc. SVM, Random Forest, and Naive Bayes are just a few of the machine learning methods covered in this article for sentiment analysis. Experimental analyses demonstrate the effectiveness and superior accuracy and speed of the suggested machine learning classifiers.