FIFA Player Ranking Based on Tweets Recognizing Named Entity
- Md. Niaz Imtiaz,
- Md Toukir Ahmed,
- Golum Rabby
Md Toukir Ahmed
Pabna University of Science and Technology
Author ProfileAbstract
Nowadays social media play an important role to share opinions on
various events. People often share their experiences, opinions and
measurements. Social media have become important sources of information
to evaluate different types of events and people as well. Twitter has
become one of the popular social media platforms to express news in
real-time. Opinions shared on social media can create impacts on various
events. People often share their opinions and feelings about players.
Football is one of the most popular game all around the world. People
love to watch football, analyze players and post their opinions on
social media. In this thesis, an analysis is performed on FIFA top
listed eight players of the current time, based on tweets of different
persons. 5000 tweets are extracted and by applying the Named Entity
Recognition technique tweets on each player are isolated. A sentiment
analysis approach is applied on tweets to measure the polarity of each
tweet. A ranking system is designed to rank the players. By different
computational and statistical means and using the designed ranking
system the chosen players are ranked. A comparative analysis among FIFA
best eight players is shown as well according to public views on them.