• Shadab Ahmad
• Md Shahid Anwar

Sentiment analysis assigns sentiment scores to words, entities, topics and themes in a sentence. It uses machine learning to analyze sentences and evaluate their sentiment. This sentiment analysis tool has a website where you can input a term and it will give you an immediate response, specifically referencing sentiments in social media. This paper examines the reviews on basis of VADER and Senti-Lexicon approach. VADER evaluates text by checking to see if any of the words are a part of their lexicon, and determines the emotional tone through a sentiment analysis. VADER can also intelligently determine structures in sentences and paragraphs for clarity. The approach is usually a paragraph or two and does not have punctuation marks. The one that was paraphrased has more formal tone because it was not created by an AI, but instead written by a human. The senti-lexicon approach is utilized for the extension of dictionaries, multi negation and multi intensifier handling.

"VADER Based Machine Learning Approach for Sentiment Based Product Review Examination", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.j272-j277, June-2022, Available :http://www.jetir.org/papers/JETIR2206935.pdf

"VADER Based Machine Learning Approach for Sentiment Based Product Review Examination", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppj272-j277, June-2022, Available at : http://www.jetir.org/papers/JETIR2206935.pdf