Comparative analysis of fresh food e-commerce brand attitudes based on STM theme model
The circulation of fresh agricultural products is related to the quality of consumption and agricultural development. This article takes the online reviews of fresh products as the research object and studies the comparative differences of consumer brand perception under the different sentiment and...
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| Veröffentlicht in: | PloS one 2023-03, Vol.18 (3), p.e0282521-e0282521 |
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| description | The circulation of fresh agricultural products is related to the quality of consumption and agricultural development. This article takes the online reviews of fresh products as the research object and studies the comparative differences of consumer brand perception under the different sentiment and brand source classifications. The study was carried out with the aim to explore the influence mechanism of consumers' different brand attitudes. Structural Topic Modeling (STM) method was used to classify online reviews for brand perception topics, and Gephi network visualization was used to analyze the influence relationship between different brand perception topics. The study also conducts comparative research on the differences in perceived attitudes between positive and negative emotion classifications, as well as self-operated and non-self-operated brands, and analyzes the moderating effect of sentiment scores on the perceived theme intensity of different brands. |
| doi_str_mv | 10.1371/journal.pone.0282521 |
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This article takes the online reviews of fresh products as the research object and studies the comparative differences of consumer brand perception under the different sentiment and brand source classifications. The study was carried out with the aim to explore the influence mechanism of consumers' different brand attitudes. Structural Topic Modeling (STM) method was used to classify online reviews for brand perception topics, and Gephi network visualization was used to analyze the influence relationship between different brand perception topics. The study also conducts comparative research on the differences in perceived attitudes between positive and negative emotion classifications, as well as self-operated and non-self-operated brands, and analyzes the moderating effect of sentiment scores on the perceived theme intensity of different brands.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0282521</identifier><identifier>PMID: 36928670</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Agricultural development ; Agricultural products ; Agriculture ; Attitude ; Attitude (Psychology) ; Attitudes ; Biology and Life Sciences ; Brand equity ; Brand management ; Classification ; Commerce ; Comparative analysis ; Computer and Information Sciences ; Consumer attitudes ; Consumer Behavior ; Consumer preferences ; Consumers ; Cooperation ; Data mining ; Electronic commerce ; Engineering and Technology ; Farm produce ; Food ; Generalized linear models ; Hypothesis testing ; Literature reviews ; Logistics ; Marketing ; Marketing research ; Medicine and Health Sciences ; Metadata ; Perception ; Product development ; Product quality ; Product reviews ; Psychological aspects ; Public opinion ; Research methodology ; Social Sciences</subject><ispartof>PloS one, 2023-03, Vol.18 (3), p.e0282521-e0282521</ispartof><rights>Copyright: © 2023 Hongyu Liu. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2023 Public Library of Science</rights><rights>2023 Hongyu Liu. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2023 Hongyu Liu 2023 Hongyu Liu</rights><rights>2023 Hongyu Liu. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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This article takes the online reviews of fresh products as the research object and studies the comparative differences of consumer brand perception under the different sentiment and brand source classifications. The study was carried out with the aim to explore the influence mechanism of consumers' different brand attitudes. Structural Topic Modeling (STM) method was used to classify online reviews for brand perception topics, and Gephi network visualization was used to analyze the influence relationship between different brand perception topics. The study also conducts comparative research on the differences in perceived attitudes between positive and negative emotion classifications, as well as self-operated and non-self-operated brands, and analyzes the moderating effect of sentiment scores on the perceived theme intensity of different brands.</description><subject>Agricultural development</subject><subject>Agricultural products</subject><subject>Agriculture</subject><subject>Attitude</subject><subject>Attitude (Psychology)</subject><subject>Attitudes</subject><subject>Biology and Life Sciences</subject><subject>Brand equity</subject><subject>Brand management</subject><subject>Classification</subject><subject>Commerce</subject><subject>Comparative analysis</subject><subject>Computer and Information Sciences</subject><subject>Consumer attitudes</subject><subject>Consumer Behavior</subject><subject>Consumer preferences</subject><subject>Consumers</subject><subject>Cooperation</subject><subject>Data 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This article takes the online reviews of fresh products as the research object and studies the comparative differences of consumer brand perception under the different sentiment and brand source classifications. The study was carried out with the aim to explore the influence mechanism of consumers' different brand attitudes. Structural Topic Modeling (STM) method was used to classify online reviews for brand perception topics, and Gephi network visualization was used to analyze the influence relationship between different brand perception topics. 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| subjects | Agricultural development Agricultural products Agriculture Attitude Attitude (Psychology) Attitudes Biology and Life Sciences Brand equity Brand management Classification Commerce Comparative analysis Computer and Information Sciences Consumer attitudes Consumer Behavior Consumer preferences Consumers Cooperation Data mining Electronic commerce Engineering and Technology Farm produce Food Generalized linear models Hypothesis testing Literature reviews Logistics Marketing Marketing research Medicine and Health Sciences Metadata Perception Product development Product quality Product reviews Psychological aspects Public opinion Research methodology Social Sciences |
| title | Comparative analysis of fresh food e-commerce brand attitudes based on STM theme model |
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