Fake account detection in Twitter

Hallothon project

Done on 11th and 12th November where we worked for 24 hours to win top 10 in the Hackathon.

My teammates included Dhruv Nilkund, Digvijay Sunil and Puneet

Features

• Uses machine learning algorithms to classify user accounts into real or fake.
• Classifiers implemented are:
  • Naive Bayes
  • SVC
  • K-Nearest neighbour
• Calcualtes accuracy and error rate of classifiers.
• Displays comparison results of each classifier using bar graph.

How to run?

• Install required libraries using

	pip install [library-name]

• Execute the Python code using

	python model.py

• Select the dataset "twitter_data.csv" or enter custom account details.
• Choose the classifier and results will be displayed in new tab.