{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T14:52:24Z","timestamp":1753887144398},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030036485"},{"type":"electronic","value":"9783030036492"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-030-03649-2_19","type":"book-chapter","created":{"date-parts":[[2018,10,25]],"date-time":"2018-10-25T07:36:32Z","timestamp":1540452992000},"page":"191-203","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Use of Sentiment Mining and Online NMF for Topic Modeling Through the Analysis of Patients Online Unstructured Comments"],"prefix":"10.1007","author":[{"given":"Adnan Muhammad","family":"Shah","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangbin","family":"Yan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Syed Jamal","family":"Shah","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Salim","family":"Khan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,10,26]]},"reference":[{"key":"19_CR1","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1136\/bmjqs-2012-000906","volume":"21","author":"F Greaves","year":"2012","unstructured":"Greaves, F., et al.: Associations between internet-based patient ratings and conventional surveys of patient experience in the English NHS: an observational study. BMJ Qual. Saf. 21, 600 (2012)","journal-title":"BMJ Qual. Saf."},{"key":"19_CR2","doi-asserted-by":"publisher","first-page":"e108","DOI":"10.2196\/jmir.4430","volume":"18","author":"H Hao","year":"2016","unstructured":"Hao, H., Zhang, K.: The voice of chinese health consumers: a text mining approach to web-based physician reviews. J. Med. Internet Res. 18, e108 (2016)","journal-title":"J. Med. Internet Res."},{"key":"19_CR3","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/j.ijmedinf.2016.12.007","volume":"99","author":"H Hao","year":"2017","unstructured":"Hao, H., Zhang, K., Wang, W., Gao, G.: A tale of two countries: International comparison of online doctor reviews between China and the United States. Int. J. Med. Inform. 99, 37\u201344 (2017)","journal-title":"Int. J. Med. Inform."},{"key":"19_CR4","doi-asserted-by":"publisher","first-page":"1098","DOI":"10.1136\/amiajnl-2014-002711","volume":"21","author":"BC Wallace","year":"2014","unstructured":"Wallace, B.C., Paul, M.J., Sarkar, U., Trikalinos, T.A., Dredze, M.: A large-scale quantitative analysis of latent factors and sentiment in online doctor reviews. J. Am. Med. Inform. Assoc. 21, 1098\u20131103 (2014)","journal-title":"J. Am. Med. Inform. Assoc."},{"key":"19_CR5","doi-asserted-by":"publisher","first-page":"e95","DOI":"10.2196\/jmir.1960","volume":"13","author":"B Kadry","year":"2011","unstructured":"Kadry, B., Chu, F.L., Kadry, B., Gammas, D., Macario, A.: Analysis of 4999 online physician ratings indicates that most patients give physicians a favorable rating. J. Med. Internet Res. 13, e95 (2011)","journal-title":"J. Med. Internet Res."},{"key":"19_CR6","doi-asserted-by":"publisher","first-page":"e187","DOI":"10.2196\/jmir.2702","volume":"15","author":"M Emmert","year":"2013","unstructured":"Emmert, M., Meier, F., Pisch, F., Sander, U.: Physician choice making and characteristics associated with using physician-rating websites: cross-sectional study. J. Med. Internet Res. 15, e187 (2013)","journal-title":"J. Med. Internet Res."},{"key":"19_CR7","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1016\/j.tourman.2016.10.001","volume":"58","author":"Z Xiang","year":"2017","unstructured":"Xiang, Z., Du, Q., Ma, Y., Fan, W.: A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism. Tour. Manag. 58, 51\u201365 (2017)","journal-title":"Tour. Manag."},{"key":"19_CR8","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1016\/j.inffus.2016.11.012","volume":"36","author":"Y Liu","year":"2017","unstructured":"Liu, Y., Bi, J.-W., Fan, Z.-P.: Ranking products through online reviews: a method based on sentiment analysis technique and intuitionistic fuzzy set theory. Inf. Fusion 36, 149\u2013161 (2017)","journal-title":"Inf. Fusion"},{"key":"19_CR9","doi-asserted-by":"publisher","first-page":"214","DOI":"10.1016\/j.eswa.2016.10.043","volume":"69","author":"M Giatsoglou","year":"2017","unstructured":"Giatsoglou, M., Vozalis, M.G., Diamantaras, K., Vakali, A., Sarigiannidis, G., Chatzisavvas, K.C.: Sentiment analysis leveraging emotions and word embeddings. Expert Syst. Appl. 69, 214\u2013224 (2017)","journal-title":"Expert Syst. Appl."},{"key":"19_CR10","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1097\/QMH.0b013e3182417fc4","volume":"21","author":"F Alemi","year":"2012","unstructured":"Alemi, F., Torii, M., Clementz, L., Aron, D.C.: Feasibility of real-time satisfaction surveys through automated analysis of patients\u02bc unstructured comments and sentiments. Qual. Manag. Health Care 21, 9\u201319 (2012)","journal-title":"Qual. Manag. Health Care"},{"key":"19_CR11","doi-asserted-by":"publisher","first-page":"e239","DOI":"10.2196\/jmir.2721","volume":"15","author":"F Greaves","year":"2013","unstructured":"Greaves, F., Ramirez-Cano, D., Millett, C., Darzi, A., Donaldson, L.: Use of sentiment analysis for capturing patient experience from free-text comments posted online. J. Med. Internet Res. 15, e239 (2013)","journal-title":"J. Med. Internet Res."},{"key":"19_CR12","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1016\/j.patcog.2017.11.002","volume":"76","author":"D Tu","year":"2018","unstructured":"Tu, D., Chen, L., Lv, M., Shi, H., Chen, G.: Hierarchical online NMF for detecting and tracking topic hierarchies in a text stream. Pattern Recogn. 76, 203\u2013214 (2018)","journal-title":"Pattern Recogn."},{"key":"19_CR13","doi-asserted-by":"publisher","first-page":"189","DOI":"10.3389\/fpsyg.2018.00189","volume":"9","author":"C Klein","year":"2018","unstructured":"Klein, C., Clutton, P., Polito, V.: Topic modeling reveals distinct interests within an online conspiracy forum. Front. Psychol. 9, 189 (2018)","journal-title":"Front. Psychol."},{"key":"19_CR14","doi-asserted-by":"publisher","first-page":"e38","DOI":"10.2196\/jmir.2003","volume":"14","author":"GG Gao","year":"2012","unstructured":"Gao, G.G., McCullough, S.J., Agarwal, R., Jha, K.A.: A changing landscape of physician quality reporting: analysis of patients? Online ratings of their physicians over a 5-year period. J. Med. Internet Res. 14, e38 (2012)","journal-title":"J. Med. Internet Res."},{"key":"19_CR15","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1007\/s12306-017-0500-1","volume":"102","author":"RA Jack","year":"2018","unstructured":"Jack, R.A., Burn, M.B., McCulloch, P.C., Liberman, S.R., Varner, K.E., Harris, J.D.: Does experience matter? A meta-analysis of physician rating websites of orthopaedic surgeons. Musculoskelet. Surg. 102, 63\u201371 (2018)","journal-title":"Musculoskelet. Surg."},{"key":"19_CR16","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1097\/QMH.0b013e3182417fc4","volume":"21","author":"F Alemi","year":"2012","unstructured":"Alemi, F., Torii, M., Clementz, L., Aron, D.C.: Feasibility of real-time satisfaction surveys through automated analysis of patients\u2019 unstructured comments and sentiments. Qual. Manag. Health Care 21, 9\u201319 (2012)","journal-title":"Qual. Manag. Health Care"},{"key":"19_CR17","doi-asserted-by":"publisher","first-page":"467","DOI":"10.1016\/j.tourman.2016.09.009","volume":"59","author":"Y Guo","year":"2017","unstructured":"Guo, Y., Barnes, S.J., Jia, Q.: Mining meaning from online ratings and reviews: tourist satisfaction analysis using latent dirichlet allocation. Tourism Manag. 59, 467\u2013483 (2017)","journal-title":"Tourism Manag."},{"key":"19_CR18","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1016\/j.eswa.2017.08.049","volume":"91","author":"A Garc\u00eda-Pablos","year":"2018","unstructured":"Garc\u00eda-Pablos, A., Cuadros, M., Rigau, G.: W2VLDA: almost unsupervised system for aspect based sentiment analysis. Expert Syst. Appl. 91, 127\u2013137 (2018)","journal-title":"Expert Syst. Appl."}],"container-title":["Lecture Notes in Computer Science","Smart Health"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-03649-2_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,14]],"date-time":"2020-11-14T01:25:24Z","timestamp":1605317124000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-03649-2_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030036485","9783030036492"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-03649-2_19","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"ICSH","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Smart Health","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Wuhan","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 July 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 July 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icsh2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2018.icshconf.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Open","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"--","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"49","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"14","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"21","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"29% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"1.71","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"1.75","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}}]}}