• Heena Malani
• Prof S.R. Ghungrad

Online social networks like twitter have a ton of data. However, regularly individuals don't give individual data, like age, sexual orientation and other segment information, albeit the certainty investigation uses such data to foster valuable applications in individuals' day to day routines. However, there is as yet a disappointment in this kind of investigation, regardless of whether by the predetermined number of words contained in the word reference or on the grounds that they don't consider the most assorted boundaries Can impact sentiments in sentences; Therefore, more solid outcomes will be gotten in case considering client profile information and client composing style. This exploration shows that quite possibly the most significant parameter contained in the client profile is the age bunch, which shows that there is ordinary conduct among clients of as old as, particularly when these clients expound on. With a similar theme Detailed examination with 7000 sentences has been directed to figure out which elements are significant, like the utilization of accentuation, number of characters, sharing of media, different subjects, and which ones can disregard the age bunch grouping. Diverse learning machine calculations have been tried for the characterization of juvenile and grown-up gatherings and the Word2Vec has the best exhibition with exactness up to 0.95 in the approval test. must moreover, to confirm the handiness of the proposed model for age bunch characterization, it is executed in the Sentiment Metric (eSM) that has been improved.

Tweets,NLP, Twitter,Deep Learning

"Identifying Peer Group On Social Media Using Deep Learning Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 12, page no.c228-c238, December-2021, Available :http://www.jetir.org/papers/JETIR2112229.pdf

"Identifying Peer Group On Social Media Using Deep Learning Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 12, page no. ppc228-c238, December-2021, Available at : http://www.jetir.org/papers/JETIR2112229.pdf