CLASSIFIER ENSEMBLE FOR OPINION EXTRACTION OF MOVIE REVIEW USING NLTK

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.