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RETRACTED ARTICLE: Multilevel sentiment analysis using domain thesaurus

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This article was retracted on 20 June 2022

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Abstract

The main aspects or features of products are identified through aspect extraction. Sentiment analysis is performed for the source domain, which is referred as the product. Then, the source domain is mapped to target domain, which is referred to as the hotel, via a process called multidomain sentiment classification. A sentiment sensitive domain thesaurus makes the words alignment for the words that are expressing the same sentiments from two different domains. Then a rank is given for products as well as hotels- with the help of features that are present in history of reviews of consumers. The user may easily get the idea for shopping ideas by seeing star ratings on a website. Product recommendations and service recommendations for hotels will be given to the user. Based on each feature or aspect of the product positive and negative opinions are identified. Health-related problems are identified with the help of the patient’s history. For the purpose of medical treatment, 47% of online users search for treatment procedures on the Internet based on the field of bioinformatics. The purpose of opinion mining is to separatepositive and negative opinions regarding the aspects of the object. The important decision here is, how to select the correct source domain to have an adaptation to a given target domain. The source and target domain share same sentiment words. For example, the electronics domain can be adapted for the kitchen Domain. Electronics products, such as televisions, fans, grinders, blenders, refrigerators, washing machines, are considered under the electronics domain. The cutting aspect of blenders is sharp under electronics domain can be related to knives under the kitchen domain. The kitchen domain is the target domain. If the above kitchen domain is the target domain, then the ranking is performed based on the history of reviews from online users for kitchen based products.

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Authors and Affiliations

  1. Department of CSE, Aalim Muhammed Salegh College of Engineering, Muthapudhupet, Chennai, Tamilnadu, 600055, India

    K. Priya

  2. Department of CSE, PMR Engineering college, Chennai, Tamilnadu, 600095, India

    K. Dinakaran

  3. Department of IT, Saveetha Engineering College, Chennai, Tamilnadu, India

    P. Valarmathie

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  1. K. Priya
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  2. K. Dinakaran
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  3. P. Valarmathie
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Correspondence to K. Priya.

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This article has been retracted. Please see the retraction notice for more detail:https://doi.org/10.1007/s12652-022-04192-2

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Priya, K., Dinakaran, K. & Valarmathie, P. RETRACTED ARTICLE: Multilevel sentiment analysis using domain thesaurus. J Ambient Intell Human Comput 12, 5017–5028 (2021). https://doi.org/10.1007/s12652-020-01941-z

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