{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T21:26:32Z","timestamp":1771968392943,"version":"3.50.1"},"reference-count":30,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2015,8,12]],"date-time":"2015-08-12T00:00:00Z","timestamp":1439337600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Information Science"],"published-print":{"date-parts":[[2016,8]]},"abstract":"<jats:p> In this paper we propose a fully unsupervised approach for product aspect discovery in on-line consumer reviews. We apply a two-step hierarchical clustering process in which we first cluster words representing aspects based on the semantic similarity of their contexts and then on the similarity of the hypernyms of the cluster members. Our approach also includes a method for assigning class labels to each of the clusters. We evaluated our methods on large datasets of restaurant and camera reviews and found that the two-step clustering process performed better than a single-step clustering process at identifying aspects and words refering to aspects. Finally, we compare our method to a state-of-the-art topic modelling approach by Titov and McDonald, and demonstrate better results on both datasets. <\/jats:p>","DOI":"10.1177\/0165551515595742","type":"journal-article","created":{"date-parts":[[2015,8,13]],"date-time":"2015-08-13T00:39:21Z","timestamp":1439426361000},"page":"492-506","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":9,"title":["Discovering aspects of online consumer reviews"],"prefix":"10.1177","volume":"42","author":[{"given":"Kaheer","family":"Suleman","sequence":"first","affiliation":[{"name":"University of Waterloo, Canada"}]},{"given":"Olga","family":"Vechtomova","sequence":"additional","affiliation":[{"name":"University of Waterloo, Canada"}]}],"member":"179","published-online":{"date-parts":[[2015,8,12]]},"reference":[{"key":"bibr1-0165551515595742","doi-asserted-by":"publisher","DOI":"10.1145\/1367497.1367513"},{"key":"bibr2-0165551515595742","first-page":"300","volume-title":"Proceedings of the human language technology conference of the North American Chapter of the Association of Computational Linguistic","author":"Snyder B","year":"2007"},{"key":"bibr3-0165551515595742","first-page":"768","volume-title":"Proceedings of the 36th annual meeting of the Association for Computational Linguistics and 17th international conference on Computational Linguistics","volume":"2","author":"Lin D","year":"1998"},{"key":"bibr4-0165551515595742","doi-asserted-by":"publisher","DOI":"10.1145\/775047.775138"},{"key":"bibr5-0165551515595742","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553435"},{"key":"bibr6-0165551515595742","first-page":"653","volume-title":"Proceedings of the 23rd international conference on computational linguistics","author":"Li F","year":"2010"},{"key":"bibr7-0165551515595742","unstructured":"Borthwick AE. 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