In College

Tweets Sentiment Analysis

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AASTHA

  • 15 Skills
  • In College

About This Project

  • Performed data preprocessing which involved text cleaning, lemmitizing, and conversion of text to vectors using NLP.
  • Used regular expressions library for removing special characters, converting all the text to lowercase, and removed all the stopwords
  • Analyzed the complete text data using graphs, plots, kernel-distribution, and interactive charts.
  • Created multiple machine learning models for classifying tweets into neutral, positive, and negatives.

Project Walkthrough

Tools & Technologies

Tags

  • Natural Language Processing
  • Python
  • Machine Learning
  • Deep Learning
  • Web Scrapping

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