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http://dspace.dtu.ac.in:8080/jspui/handle/repository/16702
Title: | CLASSIFIER ENSEMBLE FOR OPINION EXTRACTION OF MOVIE REVIEW USING NLTK |
Authors: | RAJ, RITU |
Keywords: | OPINION EXTRACTION SENTIMENT ANALYSIS CLASSIFIER NLTK |
Issue Date: | Jun-2019 |
Series/Report no.: | TD-4545; |
Abstract: | Opinion Extraction or Sentiment Analysis is a contextual text mining that identifies and extracts subjective information from source information, helping a business to acknowledge its brand, product or service social sense. The social platform is in a boom which gives a large audience an overview. Opinion is made in connection with everything on the Internet. This work focuses on the extraction of opinions from films also known as sentimental analysis. A classification ensemble based on the supervisioned machine learning algorithm is generated using the NLTK Toolkit to produce a fresh classifier. This improves overall accuracy. The results obtained are demonstrated further with using matplotlib. |
URI: | http://dspace.dtu.ac.in:8080/jspui/handle/repository/16702 |
Appears in Collections: | M.E./M.Tech. Computer Engineering |
Files in This Item:
File | Description | Size | Format | |
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ritu_raj_thesis.pdf | 958.09 kB | Adobe PDF | View/Open |
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