• Kushal Sharma
• Sarita Patil

Social media is becoming a necessity in today’s era. It is essential to our daily lives. Nobody is able to escape its influence. . People spend 70% of their time on social media watching movies, chatting, conversation, online gaming. It’s always been interesting to know the impact of it over the young generation of India. The increasing popularity of social media resources such as blogs, bookmarks, chat rooms, forums and video portals in recent years has attracted diverse users. The increasing popularity of the Internet has resulted in an abundance of online content, which prompted the development of recommendation systems on social media. As a result, since the year 2000, there has been a considerable increase in study on the dynamic growth of recommendation systems in social media. In order to find the most relevant recommendations, social media recommendation systems (SMRS) use a variety of recommendation fields, including item, user, location, tag, event, tour, and game. The purpose of this research paper is to show motivational based recommendations to youth on social media. This paper proposes a sentiment-based recommendation system that aims to analyse the psychological patterns of social media users and provide personalized recommendations based on their sentiments. The system collects data from users' social media profiles, such as their posts and comments, and uses natural language processing techniques to analyze the sentiment expressed in their messages. Based on the sentiment analysis results, the system recommends content that is relevant and appealing to the users. The proposed system can help users to discover new content and interact with like-minded individuals, thus enhancing their social media experience. The paper concludes by discussing the potential applications of the system and highlighting future research directions.

Recommender system , Social media , Hybrid Filtering , Motivational based , Social recommender system , Sentiment Analysis , Text Mining , K-Means , Apriori

"Motivational Content based Recommendation System for Social Media", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.n37-n41, May-2023, Available :http://www.jetir.org/papers/JETIR2305D07.pdf

"Motivational Content based Recommendation System for Social Media", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppn37-n41, May-2023, Available at : http://www.jetir.org/papers/JETIR2305D07.pdf