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Published April 5, 2021 | Version v1
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Analyzing Tweets to Rank FIFA Players using Named Entity Recognition

Creators

  • 1. Department of Computer Science and Engineering, Pabna University of Science and Technology, Pabna, Bangladesh.

Description

Nowadays online media play significant role in sharing opinion on different occasions. People regularly share their experiences, feelings, and estimations. Opinions shared via online media can have impact on different issues. Twitter is a well known web-based media platform to express news simultaneously. Football is perhaps the most famous game all around the world. In this paper, an analysis hasbeen performed onFIFA top listed eight players of current time based on tweets from people. Sentiment analysis approach has been applied on tweets. A ranking system hasbeen designed by different computational and statistical meansto rank players.

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