Twitter Sentiment Analysis using Python NLP
The Twitter sentiment analysis model developed using python programming language and tkinter is used to create graphical user interface. Twitter Sentiment Analysis is performed to verify the sentiment towards various topic. Collected tweets from twitter will analyzed and identify the different sentiment present in tweets using machine learning model. Different Types of sentiment identified in this model it includes negative sentiment, positive sentiment and neutral sentiment present in tweets. We will using various classifiers to check whether which classifier gave the best model accuracy.
Twitter Sentiment Analysis using Python
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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