• B. Ramya
• A. Jothi

Twitter is a well-known and widely used social networking site since it enables users to share their ideas and opinions on any topic as well as submit messages or comments from anywhere in the world. Techniques for Sentiment Analysis are employed to research and evaluate these reviews or opinions. Sentiment analysis is a NLP method that is used to specific opinions into exclusive sentiments like positive or negative. In this work, we take Airline Dataset from Twitter and did sentiment analysis on that dataset using LSTM. Binary text classifier to classify the sentiment behind the text and various NLP preprocessing techniques to clean the data and the LSTM layers to build the text classifier. The dataset contains 14000 tweets data. This research work will show the sentiments with respect to the given sentences, given by the user.

sentiment analysis, NLP, LSTM, twitter.

"SENTIMENT ANALYSIS USING DEEP LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.64-70, March-2023, Available :http://www.jetir.org/papers/JETIRFV06014.pdf

"SENTIMENT ANALYSIS USING DEEP LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. pp64-70, March-2023, Available at : http://www.jetir.org/papers/JETIRFV06014.pdf