Twitter Sentiment Analysis using Machine Learning | IEEE Based Projects for CSE

Twitter Sentiment Analysis using NLP

Twitter Sentiment Analysis is a desktop based software, designed and developed using Python programming language. Aim of the tool is to analyze the sentiment of the tweets from the user. Basically it has five classes, Positive, Strong Positive, Negative, Strong Negative & Neutral. It uses LSTM, NLTK, Tokenizer, Gensim as a backend for training the model. Dataset consists of 1.6Million Tweets & model takes 87Million parameters as an input.

Sentiment Analysis in Twitter using Machine Learning

Software Requirements :-

  • Coding Language : Python
  • Implementation: Software Framework.
  • Operating system : Windows 10 / 11.
  • Graphical User Interface : Tkinter

Hardware Requirement:-

  • Input Devices : Keyboard, Mouse.
  • System : Pentium i3 Processor.
  • Hard Disk : 500 GB.
  • RAM : 4 GB.

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