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Syst."],"published-print":{"date-parts":[[2022,8]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Online reviews contain a great deal of information about consumers' purchasing preferences, which seriously affects potential consumers' purchasing decisions. Using the online review data to help customers make purchasing decisions has become a concern of customers, which has theoretical and practical application value. Therefore, a product selection model is presented based on sentiment analysis combined with an intuitionistic fuzzy TODIM method. Firstly, the product features are extracted by the Apriori algorithm based on online reviews. The sentiment orientation and intensity of the sentiment words for the product features are identified by the lexicon-based sentiment analysis approach. Next, the sentiment orientation of the product features is represented by an intuitionistic fuzzy value. Then the intuitionistic fuzzy TODIM method is used to determine the ranking results of the alternative products. Finally, the case study of mobile phone selection is given to illustrate the proposed approach. The results show that the proposed method considers the online reviews\u2019 sentiment orientation and intensity and the consumers\u2019 gain and loss in the purchasing product process and is more reasonable than the previous research.<\/jats:p>","DOI":"10.1007\/s40747-022-00678-w","type":"journal-article","created":{"date-parts":[[2022,2,20]],"date-time":"2022-02-20T06:08:26Z","timestamp":1645337306000},"page":"3349-3362","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":50,"title":["Product selection based on sentiment analysis of online reviews: an intuitionistic fuzzy TODIM method"],"prefix":"10.1007","volume":"8","author":[{"given":"Zhenyu","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Jian","family":"Guo","sequence":"additional","affiliation":[]},{"given":"Huirong","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Lixin","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Mengjiao","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,2,20]]},"reference":[{"issue":"8","key":"678_CR1","first-page":"387","volume":"4","author":"GH Naragund","year":"2015","unstructured":"Naragund GH, Santhosh Kumar KL, Majumdar J (2015) Development of decision making and analysis on customer reviews using sentiment dictionary for human-robot interaction. 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There are no professional or other personal interests that can inappropriately influence our submitted work.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This article does not contain any studies with human participants or animals performed by any of the authors.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Research involving human participants and\/or animals"}}]}}