{"title":"Words of scents: a linguistic analysis of online perfume reviews","authors":"L. Nikitina, F. Furuoka","doi":"10.1515/lingvan-2022-0135","DOIUrl":null,"url":null,"abstract":"Abstract This study explored linguistic resources that people employ to express their perceptions and opinions of a fragrance. Several natural language processing (NLP) techniques were used, including sentiment analysis, topic modelling, and supervised classification. The data were collected from the website of Fragrantica, popular among perfume lovers, and the reviews pertained to a niche market fragrance. The findings from the sentiment analysis revealed that the positive reviews contained a greater percentage of lexis referring to the social world, social processes, sexuality, leisure, and mental states. In the negative reviews, the prevalent lexis concerned health, illness, and social conflict. The topic modelling analysis indicated that the positive reviews centred on issues related to the experience of wearing the perfume, its sensual character, and its olfactory qualities. The negative reviews focused on skin chemistry, the perfume notes, and physical reactions to the scent. The supervised classification analysis indicated notable differences in the frequency ratios of some lexical items in the positive and negative reviews.","PeriodicalId":55960,"journal":{"name":"Linguistics Vanguard","volume":" ","pages":""},"PeriodicalIF":1.1000,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Linguistics Vanguard","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1515/lingvan-2022-0135","RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"LANGUAGE & LINGUISTICS","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract This study explored linguistic resources that people employ to express their perceptions and opinions of a fragrance. Several natural language processing (NLP) techniques were used, including sentiment analysis, topic modelling, and supervised classification. The data were collected from the website of Fragrantica, popular among perfume lovers, and the reviews pertained to a niche market fragrance. The findings from the sentiment analysis revealed that the positive reviews contained a greater percentage of lexis referring to the social world, social processes, sexuality, leisure, and mental states. In the negative reviews, the prevalent lexis concerned health, illness, and social conflict. The topic modelling analysis indicated that the positive reviews centred on issues related to the experience of wearing the perfume, its sensual character, and its olfactory qualities. The negative reviews focused on skin chemistry, the perfume notes, and physical reactions to the scent. The supervised classification analysis indicated notable differences in the frequency ratios of some lexical items in the positive and negative reviews.
期刊介绍：
Linguistics Vanguard is a new channel for high quality articles and innovative approaches in all major fields of linguistics. This multimodal journal is published solely online and provides an accessible platform supporting both traditional and new kinds of publications. Linguistics Vanguard seeks to publish concise and up-to-date reports on the state of the art in linguistics as well as cutting-edge research papers. With its topical breadth of coverage and anticipated quick rate of production, it is one of the leading platforms for scientific exchange in linguistics. Its broad theoretical range, international scope, and diversity of article formats engage students and scholars alike. All topics within linguistics are welcome. The journal especially encourages submissions taking advantage of its new multimodal platform designed to integrate interactive content, including audio and video, images, maps, software code, raw data, and any other media that enhances the traditional written word. The novel platform and concise article format allows for rapid turnaround of submissions. Full peer review assures quality and enables authors to receive appropriate credit for their work. The journal publishes general submissions as well as special collections. Ideas for special collections may be submitted to the editors for consideration.
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