IJIRCSTJournal International Journal of Innovative Research in Computer Science and Technology I S Volume 9 Issue 4 Computer Science and Engineering English July - August 2021 N N Y 2021 07 19 Computer Sciences Detecting Depression in Tweets Using DistilBERT English Y 33 35 U. Yasaswini English Y Y. Sasidhar English N P. Siva Sai English N P. Eswar English N V. Swathi English N https://doi.org/10.21276/ijircst.2021.9.4.8 Depression is a mood disorder that will affect a person's daily life. Depression can change life with all the suicidal thoughts, and the youth is straining a lot. Social media is growing tremendously day by day, and the applications like Twitter, Facebook are being used by youngsters. They share their opinions about their mood, and we can analyze a person's state of mind with those tweets written on Twitter. Our paper aims to detect that the person is depressed or not by using the Tweets using distilBERT, the distilled version of BERT. This distilBERT model is used to train the data and helps to achieve higher accuracy. English Depression, Social Media, BERT, distilBERT, Tweets https://ijircst.org/abstract.php?article_id=599