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nlkt

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Sentiment-Analysis-of-Covid-19-Tweets

Texts from twitter has been collected to decide the impact, it has been causing the public .We took a testing dataset and used neural network – Model training for testing the retrieved tweets and gain prediction of the sentiments from their tweets.

  • Updated Jan 16, 2024
  • Jupyter Notebook

This a project which predicts the stock price of Tesla for a given time period & based upon the previous 10 years of historical data. Here, numerical and sentimental analysis is performed with the help of natural language toolkit (NLKT), Textblob, sklearn etc. By observing the previous trends of the market stock price and sentiments of the news …

  • Updated Mar 12, 2022
  • Jupyter Notebook

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