• Parul Ghirnikar
• Tejashri Ganmukhe
• Pooja Somavanshi
• Harshal Nahire
• Suvarna Potdukhe

Twitter is a well-known social media platform where users can express their opinions and emotions on various subjects. Data analysis and mood retrieval are two processes known as sentiment analysis. In order to extract the user's expressed emotions from Twitter data (tweets), Twitter sentiment analysis applies sentiment analysis to the platform's data. Over the past few decades, research in this area has grown significantly. The difficulty in processing the tweets' complicated format is the cause of this. Because the tweet format is so short, it introduces a whole new set of problems, such as the use of slang and abbreviations. The methodology and models used in some articles on Twitter sentiment analysis research will be covered in this study.

Twitter, Sentiment Classification, SVM, Tweet Classifier

"Survey On Tweet Analyzer For Sentiments Using ML", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.g421-g423, March-2023, Available :http://www.jetir.org/papers/JETIR2303662.pdf

"Survey On Tweet Analyzer For Sentiments Using ML", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. ppg421-g423, March-2023, Available at : http://www.jetir.org/papers/JETIR2303662.pdf