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Movie Genre Prediction and Sentiment Analysis using Natural Language Processing
Subject area: Science,Engineering and Technology · Area of research: Natural Language Processing
Abstract
In our daily life we always need some entertainment to relieve our stress. It is great means of spending some quality time with our family members as well. Watching a movie is great source of such entertainment. This is the reason movie have become a large business with good investment. Nowadays Movies are also released on online platform so the viewers? can watch the movie in the comfort of their home. As sometimes theater tickets prizes are very high and due to busy life; people prefer to watch movie based on specific genre to save their times as well as money. At this time, movie genre prediction system plays great role in recommending movies based on viewers? interest. In our project, we are using supervised learning approach for prediction of movie genre based on movie subtitles. For execution purpose we are using Google Collab notebook as well as Flair Framework which provides state of the art Natural Language Processing models. The data we are collecting is in raw format so it is necessary to preprocess the data to achieve better accuracy for our classification model. To achieve this, stop word removal methods, Named Entity Recognition (NER) model and other methods are used to extract relevant data. After preprocessing, the dataset will be passed to Artificial Neural Network for genre prediction. Drama, Action, Comedy, Musical, War, Crime, Western, Romance and Horror are the eight categories in which movie transcript will be classified.
Keywords
Supervised Learning, Artificial Neural Network (ANN), Flair framework, Preprocessing
References
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[8] Varshit Battu, Vishal Batchu, Rama Rohit Reddy, Murali Krishna Reddy, Radhika Mamidi, “Predicting the Genre and Rating of a Movie Based on its Synopsis”, International Institute of Information Technology Hyderabad.
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How to cite this paper
@article{1702699,
author = {Pratiksha Shailendra Poshe, Dr. Vinayak Ashok Bharadi, Gudiya Ashok Yadav , Rutuja Shantaram Nandiwadekar},
title = {Movie Genre Prediction and Sentiment Analysis using Natural Language Processing},
journal = {Iconic Research And Engineering Journals},
year = {2021},
volume = {4},
number = {11},
pages = {63-68},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1702699.pdf},
abstract = {In our daily life we always need some entertainment to relieve our stress. It is great means of spending some quality time with our family members as well. Watching a movie is great source of such entertainment. This is the reason movie have become a large business with good investment. Nowadays Movies are also released on online platform so the viewers? can watch the movie in the comfort of their home. As sometimes theater tickets prizes are very high and due to busy life; people prefer to watch movie based on specific genre to save their times as well as money. At this time, movie genre prediction system plays great role in recommending movies based on viewers? interest.
In our project, we are using supervised learning approach for prediction of movie genre based on movie subtitles. For execution purpose we are using Google Collab notebook as well as Flair Framework which provides state of the art Natural Language Processing models. The data we are collecting is in raw format so it is necessary to preprocess the data to achieve better accuracy for our classification model. To achieve this, stop word removal methods, Named Entity Recognition (NER) model and other methods are used to extract relevant data. After preprocessing, the dataset will be passed to Artificial Neural Network for genre prediction. Drama, Action, Comedy, Musical, War, Crime, Western, Romance and Horror are the eight categories in which movie transcript will be classified.},
keywords = {Supervised Learning, Artificial Neural Network (ANN), Flair framework, Preprocessing},
month = {May},
}