Fake account detection in Twitter

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.

A glimpse of running the model

Output Window

Custom User Account

Sample Classifier accuracy

Classifier comparison

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.