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http://dspace.dtu.ac.in:8080/jspui/handle/repository/18874
Title: | SENTIMENT ANALYSIS AND OPINION MINING USING NLP |
Authors: | NEGI, RAJINDER SINGH |
Keywords: | TWITTER DATA CUSTOMER FEEDBACK NLP LEARNING NEURAL NETWORK |
Issue Date: | Jun-2021 |
Publisher: | DELHI TECHNOLOGICAL UNIVERSITY |
Series/Report no.: | TD - 5425; |
Abstract: | Social Media has become an important platform for expressing and consuming information. A customer opinion is a product and service who buy and used or had experience with that and it is Most Important for customer feedback on various product and service. Here our aim is build a Recommendation System using Natural Languages processing on Twitter Data. Each Tweet we will do required analysis on particular tweet independently. By Looking at Single Sentence (Tweets) we could not find the Sentiment of whole sentence for this need to use deep learning Neural Network for Required Analysis. Word Sentiment is useful but it cannot express the meaning of longer phrases. Therefore Sentiment detection required a richer supervised learning and more powerful model of composition. |
URI: | http://dspace.dtu.ac.in:8080/jspui/handle/repository/18874 |
Appears in Collections: | M.E./M.Tech. Information Technology |
Files in This Item:
File | Description | Size | Format | |
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Thesis.pdf | 2.29 MB | Adobe PDF | View/Open |
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