Sentiment Analysis on Reviews with Neural Networks
Sentiment Analysis on Reviews utilizes neural networks to analyze and interpret sentiments expressed in product or service reviews. This application processes textual content to determine whether reviews are positive, negative, or neutral, providing valuable insights for businesses and consumers. The neural networks’ ability to understand context and nuances enhances the accuracy of sentiment analysis, contributing to informed decision-making and improved customer experiences.
Sentiment Analysis using Natural Language Processing, In this project user have to enter the text and it will analyze the text, whether it is positive or negative reviews. Python Programming Language is used to develop the project, and Django Framework is used to create Graphical User Interface.
Sentiment Analysis using Natural Language Processing
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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