• Khushi Agarwal
• Ishita kapoor

With the growing technology and its easy access, social media has become a part of everyone’s life wherein they are free to voice their opinions publicly on any given topic. One such platform is Twitter, wherein people comment upon a huge variety of subjects ranging from social activities to any remark on products. With millions of users tweeting every day, it can be challenging to make sense of the vast amount of data generated. There can be positive, negative, or neutral opinions that tend to confuse people until correctly demonstrated. Sentiment analysis is a powerful tool for analyzing this data and extracting insights from it. In this paper, we present a Flask-based web app that uses TextBlob in order to perform sentiment analysis on the tweets to segregate them and give a pictorial representation of the review of the masses on the topic.

Twitter,flask,python,twitter

"Implementation of sentiment analysis using python and flask", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.l104-l107, May-2023, Available :http://www.jetir.org/papers/JETIR2305B14.pdf

"Implementation of sentiment analysis using python and flask", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppl104-l107, May-2023, Available at : http://www.jetir.org/papers/JETIR2305B14.pdf