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Movie Review Summarization Using Supervised Learning and Graph-Based Ranking Algorithm
المؤلفون المشاركون
Salim, Naomie
Zareei, Mahdi
Khan, Atif
Gul, Muhammad Adnan
Biswal, R. R.
Zeb, Asim
Naeem, Muhammad
Saeed, Yousaf
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-06-02
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1138815
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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