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Web Based Application for Identification of Fake Twitter Users

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dhairyaostwal/twitterf

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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 returnlabel value which would indicate fake or genuine/true Twitter user.

parametersin Twitter terms
status_countnumber of tweets
followers_countfollowers
friends_countfollowing
favourite_countno. of likes
listed_countno. of list

Requirements:

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

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