{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T19:45:51Z","timestamp":1762026351944,"version":"build-2065373602"},"reference-count":30,"publisher":"Oxford University Press (OUP)","issue":"4","license":[{"start":{"date-parts":[[2020,10,13]],"date-time":"2020-10-13T00:00:00Z","timestamp":1602547200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,4,19]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>In this research, an automated analysis is performed on students\u2019 chat and text data generated by social media platforms over the course of one semester and thoroughly analyzed for potential feedback about teaching, exams, and course contents. A data crawler is developed that performs horizontal and vertical samplings of the data. After data crawling, a few preprocessing steps are performed including text extraction, noise removal, stop-word removal, word stemming, text classification, and feature extraction. The intensity of a review is determined using four measures containing knowledge and understanding, course contents, teaching style, and assessment procedures for a specific course. The proposed system contains features from text mining and web mining to automatically identify a review whenever a user writes comments on their studies. This system aims to provide curriculum development committees with valuable online student feedback and assist in curriculum improvements. By comparing these automated reviews to results obtained from manual student survey forms, we found that the automated system yields the same output but at a fraction of the cost and time typically spent on collecting and analyzing manual student surveys.<\/jats:p>","DOI":"10.1093\/comjnl\/bxaa130","type":"journal-article","created":{"date-parts":[[2020,9,18]],"date-time":"2020-09-18T19:17:10Z","timestamp":1600456630000},"page":"918-925","source":"Crossref","is-referenced-by-count":6,"title":["Semantic Analysis to Identify Students\u2019 Feedback"],"prefix":"10.1093","volume":"65","author":[{"given":"Khalid","family":"Masood","sequence":"first","affiliation":[{"name":"Department of Computer Science, Lahore Garrison University, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muhammad Adnan","family":"Khan","sequence":"additional","affiliation":[{"name":"Department of Computer Science, LGU, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Usman","family":"Saeed","sequence":"additional","affiliation":[{"name":"College of Computer Science and Engineering, University of Jeddah, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohammed A","family":"Al Ghamdi","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Umm al Qura University, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muhammad","family":"Asif","sequence":"additional","affiliation":[{"name":"Department of Computer Science, LGU, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muhammad","family":"Arfan","sequence":"additional","affiliation":[{"name":"Department of Computer Science, LGU, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2020,10,13]]},"reference":[{"key":"2022041811431358800_ref1","doi-asserted-by":"crossref","first-page":"361","DOI":"10.14569\/IJACSA.2019.0100248","article-title":"A study on sentiment analysis techniques of Twitter data","volume":"10","author":"Alsaeedi","year":"2019","journal-title":"International Journal of Advanced Computer Science and Applications"},{"key":"2022041811431358800_ref2","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1109\/MIS.2010.151","article-title":"Social media analytics and intelligence","volume":"25","author":"Zheng","year":"2010","journal-title":"IEEE Intelligent Systems"},{"key":"2022041811431358800_ref3","first-page":"21","article-title":"Hybrid sentiment classification on Twitter aspect-based sentiment analysis","volume":"48","author":"Zainuddin","year":"2017","journal-title":"Applied Intelligence"},{"key":"2022041811431358800_ref4","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1177\/0165551514522734","article-title":"Exploiting reviewer's comment histories for sentiment analysis","volume":"40","author":"Basiri","year":"2014","journal-title":"Journal of Information Science"},{"key":"2022041811431358800_ref5","first-page":"1","article-title":"Lexicon-enhanced sentiment analysis framework using rule-based classification scheme","volume":"1","author":"Asghar","year":"2017","journal-title":"PLOS ONE"},{"key":"2022041811431358800_ref6","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1016\/j.jss.2014.02.029","article-title":"Use of twitter to document the 2013 academic surgical congress","volume":"190","author":"Cochran","year":"2014","journal-title":"Journal of Surgical Research"},{"key":"2022041811431358800_ref7","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1016\/j.jacr.2013.07.015","article-title":"Social media in radiology: Early trends in Twitter microblogging at radiology's largest international meeting","volume":"11","author":"Hawkins","year":"2014","journal-title":"Journal of the American College of Radiology"},{"key":"2022041811431358800_ref8","doi-asserted-by":"crossref","first-page":"494","DOI":"10.1016\/j.juro.2014.02.043","article-title":"The dramatic increase in social media in urology","volume":"192","author":"Matta","year":"2014","journal-title":"The Journal of Urology"},{"key":"2022041811431358800_ref9","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1016\/j.tourman.2009.02.016","article-title":"Role of social media in online travel information search","volume":"31","author":"Xiang","year":"2010","journal-title":"Tourism Management"},{"key":"2022041811431358800_ref10","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1016\/j.ijinfomgt.2013.01.001","article-title":"Social media competitive analysis and text mining: A case study in the pizza industry","volume":"33","author":"He","year":"2013","journal-title":"International Journal of Information Management"},{"key":"2022041811431358800_ref11","doi-asserted-by":"crossref","first-page":"1870","DOI":"10.1016\/j.ins.2009.01.025","article-title":"How valuable is medical social media data? 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