Genre classification of movies using their synopsis
Cataloged from PDF version of thesis report.
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BRAC University
2018
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| Online Access: | http://hdl.handle.net/10361/9540 |
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10361-95402022-01-26T10:08:20Z Genre classification of movies using their synopsis Rahman, Ramiz Ihteshamur Kadir, Sk. Sajidul Chakrabarty, Amitabha Department of Computer Science and Engineering, BRAC University Genre classification Movies Synopsis Cataloged from PDF version of thesis report. Includes bibliographical references (pages 65-66). This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017. Movies have been classified into genres since the inception of the medium. However, even till this day, the process of classifying movies into genres has been a manual, time consuming task requiring human expertise. Some work has been done in trying to automatically classify movies into genres using machine learning techniques and classifiers, and some success has been achieved. However, little work has been done in this field with regards to Indian movies specifically. In this paper, multiple supervised learning algorithms including Naïve Bayes, Logistic Regression, K Nearest Neighbor, Decision Tree and Linear SVM were used to classify a set of Indian movies including but not limited to Bollywood and South Indian movies. Naïve Bayes and Logistic Regression were found to be the better performers and K-Nearest Neighbors was the worst performer. Genres with high positive examples such as ‘Drama’ were classified correctly more often and 0.7 for precision and 0.7 for recall scores was obtained. Performance degraded drastically as the number of positive examples fell with the ‘Musical’ genre having precision scores close to 0.1 and recall scores nearing 0. Ramiz Ihteshamur Rahman Sk. Sajidul Kadir B. Computer Science and Engineering 2018-02-22T05:21:50Z 2018-02-22T05:21:50Z 2017 12/14/2017 Thesis ID 17241007 ID 17241006 http://hdl.handle.net/10361/9540 en BRAC University thesis reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 66 pages application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Genre classification Movies Synopsis |
| spellingShingle |
Genre classification Movies Synopsis Rahman, Ramiz Ihteshamur Kadir, Sk. Sajidul Genre classification of movies using their synopsis |
| description |
Cataloged from PDF version of thesis report. |
| author2 |
Chakrabarty, Amitabha |
| author_facet |
Chakrabarty, Amitabha Rahman, Ramiz Ihteshamur Kadir, Sk. Sajidul |
| format |
Thesis |
| author |
Rahman, Ramiz Ihteshamur Kadir, Sk. Sajidul |
| author_sort |
Rahman, Ramiz Ihteshamur |
| title |
Genre classification of movies using their synopsis |
| title_short |
Genre classification of movies using their synopsis |
| title_full |
Genre classification of movies using their synopsis |
| title_fullStr |
Genre classification of movies using their synopsis |
| title_full_unstemmed |
Genre classification of movies using their synopsis |
| title_sort |
genre classification of movies using their synopsis |
| publisher |
BRAC University |
| publishDate |
2018 |
| url |
http://hdl.handle.net/10361/9540 |
| work_keys_str_mv |
AT rahmanramizihteshamur genreclassificationofmoviesusingtheirsynopsis AT kadirsksajidul genreclassificationofmoviesusingtheirsynopsis |
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1814307405148717056 |