• Mrs. K. Bhagya Laxmi
• B. Yamini
• CH. Rakshitha
• D. Keerthi

The growing popularity of E-commerce, social medias, forums, blogs etc. created a new platform where anyone can discuss and exchange his/her views, ideas , suggestions and experience about any product or services. This trend accumulated a huge amount of user generated data on the web. If this content can be extracted and analyzed properly then it can act as a key factor in decision making. Twitter is one such a platform widely used by people to express their opinions and display sentiments on different occasions. But manual extraction and analysis of this content is an impossible task, as the content is unstructured in nature and it is written in natural language. This situation opened a new area of research called Opinion Mining and Sentiment Analysis. Opinion Mining and Sentiment Analysis is an extension of Data Mining that extracts and analyzes the unstructured data automatically. Sentiment analysis is an approach to analyze data and retrieve sentiment that it embodies. Twitter sentiment analysis is an application of sentiment analysis on data from Twitter (tweets), in order to extract sentiments conveyed by the user. In the past decades, the research in this field has consistently grown. The reason behind this is the challenging format of the tweets which makes the processing difficult. The tweet format is very small which generates a whole new dimension of problems like use of slang, abbreviations etc. The main motive of this project is to classify the polarity of the tweet where it is either positive or negative efficiently compared to already existing algorithms and provide the user with live graph of the topic, which gets updated every second in accordance with the tweets posted every second which makes decision making a very easy process by providing data in pictorial way. This project also presents a theoretical comparative analysis of various techniques to the hybrid technique used in this project.

TWITTER SENTIMENT ANALYSIS USING VADER ON PYTHON

"TWITTER SENTIMENT ANALYSIS USING VADER ON PYTHON", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 5, page no.1025-1031, May 2020, Available :http://www.jetir.org/papers/JETIR2005456.pdf

"TWITTER SENTIMENT ANALYSIS USING VADER ON PYTHON", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 5, page no. pp1025-1031, May 2020, Available at : http://www.jetir.org/papers/JETIR2005456.pdf