twitterf

Identification of Fake Twitter Users

Link to dataset: Efficient detection of fake Twitter followers

Approach

1. Data preprocessing removing NaN etc.
2. Model Training and Accuracy = Decision Tree Classfication
3. Creation of pickle file

Features to be passed as Parameters

['name_wt', 'statuses_count', 'followers_count', 'friends_count', 'favourites_count', 'listed_count']

and will return label value which would indicate fake or genuine/true Twitter user.

parameters	in Twitter terms
status_count	number of tweets
followers_count	followers
friends_count	following
favourite_count	no. of likes
listed_count	no. of list

Requirements:

1. Function to calc name_wt to be passed in as parameter
2. Frontend
3. Server Flask