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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 Na\u00efve 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.<\/jats:p>","DOI":"10.1155\/2020\/7526580","type":"journal-article","created":{"date-parts":[[2020,6,2]],"date-time":"2020-06-02T23:32:05Z","timestamp":1591140725000},"page":"1-14","source":"Crossref","is-referenced-by-count":20,"title":["Movie Review Summarization Using Supervised Learning and Graph-Based Ranking Algorithm"],"prefix":"10.1155","volume":"2020","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3628-0262","authenticated-orcid":true,"given":"Atif","family":"Khan","sequence":"first","affiliation":[{"name":"Department of Computer Science, Islamia College University Peshawar, Peshawar 25000, KP, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muhammad Adnan","family":"Gul","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Islamia College University Peshawar, Peshawar 25000, KP, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6623-1758","authenticated-orcid":true,"given":"Mahdi","family":"Zareei","sequence":"additional","affiliation":[{"name":"Tecnologico de Monterrey, Escuela de Ingenieria y Ciencias, Zapopan, Jalisco 45138, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"R. 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