香水词：在线香水评论的语言学分析

IF 1.1 2区文学 0 LANGUAGE & LINGUISTICS

Linguistics Vanguard Pub Date : 2023-07-31 DOI:10.1515/lingvan-2022-0135

L. Nikitina, F. Furuoka

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引用次数: 0

摘要

摘要本研究探讨了人们用来表达他们对香味的感知和意见的语言资源。使用了几种自然语言处理(NLP)技术，包括情感分析、主题建模和监督分类。这些数据是从广受香水爱好者欢迎的网站Fragrantica上收集的，这些评论涉及一种小众市场的香水。情感分析的结果显示，积极评价中涉及社会世界、社会过程、性、休闲和精神状态的词汇比例更高。在负面评论中，流行的词汇与健康、疾病和社会冲突有关。主题建模分析表明，积极的评论集中在与使用香水的体验、其感官特征和嗅觉品质有关的问题上。负面评价主要集中在皮肤化学、香水气味和对气味的身体反应上。监督分类分析表明，在正面评价和负面评价中，某些词汇的频次比例存在显著差异。

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Words of scents: a linguistic analysis of online perfume reviews

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.

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来源期刊

Linguistics Vanguard Multiple-

CiteScore

2.00

自引率

18.20%

发文量

105

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.