• Shivani Rohilla
• Dr. Mukesh Rawat
• Mrs. Anmol Jain

With the advances in technology about sentiment analysis and predictive analytics, it has opened many avenues for researchers and enterprises to understand human mental state better. The proposed challenge is to know the emotion/mood of a person, to help in eliminating any negative state of mind that might have adverse effect on his/her daily life. This paper introduces techniques for the emotional analysis of a person in textual form which can be further used to predict the behavior of a person. Sentiment analysis is a standalone Java application that provides user with options to analyze the feeling of a person in different domains. Unlike others, our proposed methodology will provide the user to analyze a document by providing the phrase or messages in it. We are making use of a tool named facepager which is used for fetching the data from facebook. Facepager takes a bunch of facebook page names, and then enables the user to gather all posts or likes as well as a number of other types of data; these can be exported as data files from data dictionary for further processing and analysis. Author proposes a methodology that can further be used by psychiatrists in the treatment of a patient by seeing his insight and hence it can be very beneficial for them.

Sentiment analysis, data dictionary, facepager

"Sentiment Analysis Using Data Dictionary", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.131-135, February-2019, Available :http://www.jetir.org/papers/JETIR1902321.pdf

"Sentiment Analysis Using Data Dictionary", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp131-135, February-2019, Available at : http://www.jetir.org/papers/JETIR1902321.pdf