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Sentimental Analysis Using NLP

Abstract:
As more individuals used online reviews to assist them make decisions, they grew more popular. This project's goal is to create a framework based on deep learning that may be used to categorise customer feedback as positive or negative in this situation. Sentiment analysis is the term for this procedure. It is based on supervised learning methods, in which a classifier is created with training data knowledge and then used to categorise testing data. To provide proof of concept, an application prototype is created. The availability of extensive training data is crucial for deep learning to succeed. An innovative deep learning approach that uses widely accessible ratings as weak supervision signals for classifying review sentiment. To do this, a method known as Deep Learning based Sentiment Analysis (DLSA) is suggested and put into practise. It is suggested and put into practise a deep learning framework. To provide proof of concept, an application prototype is created. The empirical research showed that the suggested system is superior to the current state of the art. final year project is based on IEEE Paper.this will be one of the best Final year engineering project for computer science. Components that we will provide are.
1.complete documentation support
2.complete working hardware/software implemented in students environment 3.classes will held accordingly.

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