Movie Review Summarization Using Supervised Learning and Graph-Based Ranking Algorithm
Joint Authors
Salim, Naomie
Zareei, Mahdi
Khan, Atif
Gul, Muhammad Adnan
Biswal, R. R.
Zeb, Asim
Naeem, Muhammad
Saeed, Yousaf
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-02
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
With the growing information on web, online movie review is becoming a significant information resource for Internet users.
However, online users post thousands of movie reviews on daily basis and it is hard for them to manually summarize the reviews.
Movie review mining and summarization is one of the challenging tasks in natural language processing.
Therefore, an automatic approach is desirable to summarize the lengthy movie reviews, and it will allow users to quickly recognize the positive and negative aspects of a movie.
This study employs a feature extraction technique called bag of words (BoW) to extract features from movie reviews and represent the reviews as a vector space model or feature vector.
The next phase uses Naïve Bayes machine learning algorithm to classify the movie reviews (represented as feature vector) into positive and negative.
Next, an undirected weighted graph is constructed from the pairwise semantic similarities between classified review sentences in such a way that the graph nodes represent review sentences, while the edges of graph indicate semantic similarity weight.
The weighted graph-based ranking algorithm (WGRA) is applied to compute the rank score for each review sentence in the graph.
Finally, the top ranked sentences (graph nodes) are chosen based on highest rank scores to produce the extractive summary.
Experimental results reveal that the proposed approach is superior to other state-of-the-art approaches.
American Psychological Association (APA)
Khan, Atif& Gul, Muhammad Adnan& Zareei, Mahdi& Biswal, R. R.& Zeb, Asim& Naeem, Muhammad…[et al.]. 2020. Movie Review Summarization Using Supervised Learning and Graph-Based Ranking Algorithm. Computational Intelligence and Neuroscience،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1138815
Modern Language Association (MLA)
Khan, Atif…[et al.]. Movie Review Summarization Using Supervised Learning and Graph-Based Ranking Algorithm. Computational Intelligence and Neuroscience No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1138815
American Medical Association (AMA)
Khan, Atif& Gul, Muhammad Adnan& Zareei, Mahdi& Biswal, R. R.& Zeb, Asim& Naeem, Muhammad…[et al.]. Movie Review Summarization Using Supervised Learning and Graph-Based Ranking Algorithm. Computational Intelligence and Neuroscience. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1138815
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1138815