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A python package to predict outcome of an event based on type of data it is fed to.For now it is Loksabha 2019 Elections

Project description


Update v1.1 done at 16-05-2019 @ 01:30 pm

Social Network Analysis Loksabha '19 Election Prediction

Social Networking Analysis is a technique to analyse a given dataset to extract useful information and understanding the trend. We are currently working on analyzing tweets based party name input,analyse and plot graph for better statistical understanding and prediction purposes. Group project of RCCIIT (Session 2015-19),Department of CSE under mentorship of Mrs.Monika Singh.

This repository will hold and be updated all the undergoing changes so far the project has experienced till now and till then.

Steps to Install

Install : pip install sna_prediction

Run : sna_prediction

What's done as of now

  • Added new Positive-Negative tweet per party graph
  • Now, pie chart and wordcloud is displayed in same fig
  • Pie chart and wordcloud has both dpi of 200

Known Issues:

  • K-Map slider selected less than 3 takes longer time to render the graph due to large dataset
  • Data being huge take some time to load.Please stay patient.

Active Contribution






Program Output

+ve and -ve tweets per party

Project details

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Files for sna-prediction, version 1.1
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