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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Sentiment Analysis on Movie Reviews |
| Authors Name: | Khanagavalle G R , Kamalishree A , Kavya Rajendran , Priya Shrinithi R |
| Unique Id: | IJSDR2207002 |
| Published In: | Volume 7 Issue 7, July-2022 |
| Abstract: | Sentiment analysis is a kind of opinion mining technique that focuses on the extraction of the emotions of people towards a specific topic using structured or unstructured data. It is one of the most vital research areas in Natural Language Processing and Text Mining in recent times. It has a wide range of applications since most of the activities happening today revolve around the opinions and feedback of people. Handling such kind of immeasurable data manually is highly impossible and there everyone finds the necessity of sentiment analysis using a deep learning algorithm. In today’s world, where numerous movies of different genres are released every day, people simply cannot afford to spend their time trying to figure out whether to go to a particular movie or not. An efficient deep learning model built using proper methodology would assist people in classifying a movie as good or bad based on the reviews it receives. To implement so, two deep learning algorithms named Recurrent Neural Networks and a variant of RNN named Long Short Term Memory are used, their performance is compared and the algorithm which gives better accuracy is determined. |
| Keywords: | Natural Language Processing, Deep Learning, Recurrent Neural Network, Long Short Term Memory. |
| Cite Article: | "Sentiment Analysis on Movie Reviews", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 7, page no.5 - 10, July-2022, Available :http://www.ijsdr.org/papers/IJSDR2207002.pdf |
| Downloads: | 000337073 |
| Publication Details: | Published Paper ID: IJSDR2207002 Registration ID:200529 Published In: Volume 7 Issue 7, July-2022 DOI (Digital Object Identifier): Page No: 5 - 10 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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