14 International Journal for Modern Trends in Science and Technology
A Survey Paper on Selection of Candidates
Using Machine Learning
Prof. Mohan Nikam1|MuskaanShaikh1 | Rutuja Bhusal1|Rajkumar Singh1
1Department of Information Technology, Sandip Institute of technology and research centre, Nashik, Maharashtra,India
To Cite this Article
Prof. Mohan Nikam, MuskaanShaikh, Rutuja Bhusal and Rajkumar Singh, “A Survey Paper on Selection of Candidates
Using Machine Learning”, International Journal for Modern Trends in Science and Technology, Vol. 06, Issue 02, February
Received on 15-January-2020, Revised on 28-January-2020, Accepted on 06-February-2020, Published on 09-February-2020.
In present era, the use of social media is on boom. Due to its real-time and interactive nature, social
media has received much attention. The main challenges with social media are security, privacy,
accuracy. Still social media has given us new opportunities for sharing, collaboration, and engagement of
users. It provides the platform for politics as well. Social media platforms, like Twitter, Facebook and
YouTube motivate people to get involved in all the political activities by sharing their view about party and
Through Twitter, Facebook and other social media, analyzing the candidates based on their past
experience, finding out how compatible is the candidate for winning the elections in a particular region is
the motive of our project. Through this people will be able to understand which person is worthier to be
their representative. It is beneficial for the public as well as for the election members.
Sentiment information mined using machine learning from twitter data models was the most accurate
predictor of election outcomes and hence can be useful for selecting a candidate as well based on the
negative or positive image he has maintained in the eyes of the people.
KEYWORDS: Sentiment analysis, Candidate sel