BibTeX:

@article{IJIRSTV4I11037,
     title={Extracting User's Posts to Perform Sentiment Analysis and Recommend Yoga},
     author={Ruchi Goel, Sonali Manhas and Shadual Sinha},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={4},
     number={11},
     pages={143--145},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV4I11037.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Sentiment analysis is one of the foremost tasks of Natural Language Processing. Sentiment analysis has gathered much interest in recent years. In this paper, use of text data mining is used to consider the sentiments of the user, through a text document or resource to get important ordered information. Analyzing the mental state of user is done by identifying the sentiments of a user’s social media posts. According to the analysed emotions, Yoga Asanas and other easy solutions will be provided to the user. It aims to combine the advantages of social media and the ancient form of exercise – Yoga to provide a holistic approach to a better mental health.

Opinion Mining, Sentiment Analysis, Social Media, Text Mining, Yoga