Twitter Sentimental Analysis
Shobana G1, Vigneshwara B2, Maniraj Sai A.3
1Shobana G, Assistant Professor, Department of Computer Science and Engineering, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
2Vigneshwara B, UG Scholars, Department of Computer Science and Engineering, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
3Maniraj Sai A, UG Scholars, Department of Computer Science and Engineering, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
Manuscript received on 13 December 2018 | Revised Manuscript received on 24 December 2018 | Manuscript Published on 09 January 2019 | PP: 343-346 | Volume-7 Issue-4S November 2018 | Retrieval Number: E1989017519/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this current era, social media plays a important role in data exchange, sharing their thoughts. Emotional Effect of a person maintains an important role on their day to day life. Sentiment Analysis is a procedure of analyzing the opinions and polarity of thoughts of the person. Twitter is a main platform on sharing the thought’s, opinion and sentiments on different occasions. Twitter Sentimental Analysis is method of analyzing the emotions from tweets (message posted by user in twitter). Tweets are helpful in extracting the Sentimental values from the user. The data provide the Polarity indication like positive, negative or unbiassed values. It is focused on the person’s tweets and the hash tags for understanding the situations in each aspect of the criteria. The paper is to analyse the famous person’s id’s (@realdonaldtrump) or hash tags (#IPL2018) for understanding the mindset of people in each situation when the person has tweeted or has acted upon some incidents. The proposed system is to analyze the sentiment of the people using python, twitter API, Text Blob (Library for processing text). As the results it helps to analysis the post with a better accuracy.
Keywords: (@realdonaldtrump), (#IPL2018), Text Blob (Library for Processing Text).
Scope of the Article: Pattern Recognition and Analysis