Shalin Hariramani, Sarika Wadhwani, Advin Manhar
Social media are the fundamental assets to accumulate data about individuals' perspective and opinions towards various topics as they go through hours day to day on social medias and share their perspective. In this specialized paper, we show the utilization of sentimental analysis and how to associate with Twitter. In this paper,using Lexicon-Based Approach", we are fundamentally breaking down the feelings of users involving Twitter as an online stage where users post remarks in regards to their perspectives about trending topics and which can be valuable for business associations for fulfilling their client's need, for legislators to serve better to the general population and do better campaigning etc. This is done by fetching data in the real time environment. With the help of sentiment analysis (Opinion Mining) users will also be able to take better decisions and make better strategies for future development of the organization and with that they will also be able to compare their previous performance with their current performance. For bigger organizations it will also be useful for quick review for a new product or a new update. We will be applying Lexicon-based approach which is a dictionary or bag of words containing various sentiments like anger, happiness, fear, joy, etcThe software which we have utilized for the execution is R-Studio which is an integral asset for analysing the information with numerous predefined techniques and libraries.
Article Details
Unique Paper ID: 155445

Publication Volume & Issue: Volume 9, Issue 1

Page(s): 970 - 974
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