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Performed Sentiment Analysis and analyzed the opinions of about 5000 tweets, using Tweepy, NLTK libraries. Presented the results for positive, negative and neutral, using Sankey, Word Cloud and Choropleth visualizations.

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AmritbaniKaur/Market-Value-Product-Analysis

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CIS 600 - Principles of Social Media and Data Mining by Prof. Martin Harrison

Term Project- Market Value Product Analysis using Sentiment Analysis Authors- Amritbani Sondhi, Joy Shalom Soosai Michael, Sachin Basavani, Akshay Karthick Manoharan

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Market Value Product Analysis:

contains two parts:

  1. Project_Sentiment_Analysis - Shows the code for entire project without the UI - If incase you want to see the output from each cell you can run this file
  2. Project_Demo
    • using the final collected data from 'Project_Sentiment_Analysis' and creating a UI to analyze them

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Performed Sentiment Analysis and analyzed the opinions of about 5000 tweets, using Tweepy, NLTK libraries. Presented the results for positive, negative and neutral, using Sankey, Word Cloud and Choropleth visualizations.

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