Sentimental Analysis of a Topic on Twitter |
Author(s): |
| Dhanush M , New Horizon College of Engineering; Ijaz Nizami S, New Horizon College of Engineering; Abhijit Patra, New Horizon College of Engineering; Pranoy Biswas, New Horizon College of Engineering; Gangadhar Immadi, New Horizon College of Engineering |
Keywords: |
| Popularity Prediction, Sentiment Analysis, Natural Language Processing, Lexical Analysis |
Abstract |
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In today's world, opinions and reviews are important for influencing the success of a brand, product or service. A critical demand along this line is to predict the popularity of a trending topic, which can enable a wide range of applications. While Twitter data is extremely informative, it presents a challenging task because of its voluminous and disorganized nature. This paper is a thorough effort to dive into the novel domain of performing sentiment analysis of people's opinions. The purpose of this work is to evaluate a topic and also calculate how many people have a positive or a negative view, based on the text reviews using sentiment analysis taking reviews from Twitter. |
Other Details |
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Paper ID: IJSRDV6I21835 Published in: Volume : 6, Issue : 2 Publication Date: 01/05/2018 Page(s): 3480-3482 |
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