Product competitor identification analysis based on sentiment analysis

With the increasingly fierce competition in the market, enterprises pay enterprises are paying increasing attention to the analysis and identification of competitors. This paper takes Colgate as an example, and mines user review data to identify major and minor competitors through sentiment analysis techniques. This paper first collects and cleans the user review data of Colgate and its competing products, then calculates the sentiment weight of each product feature by using sentiment analysis techniques, and finally identifies Colgate's major and minor competitors by analyzing the similarity and complementarity of product features. This method not only helps Colgate to understand the competitive landscape of its market, but also provides a new and fine-grained way for other companies to identify competitors at the product level.

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Publication Details

Published
2025-03-28
DOI
https://doi.org/10.1145/3745238.3745477
Primary Topic
Sentiment Analysis and Opinion Mining
Type
article
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article

Product competitor identification analysis based on sentiment analysis

Ayong Wang, Supeng Zheng, Yanfeng Wang
Sentiment Analysis and Opinion Mining
article

Product competitor identification analysis based on sentiment analysis

Ayong Wang, Supeng Zheng, Yanfeng Wang
article en

Abstract

With the increasingly fierce competition in the market, enterprises pay enterprises are paying increasing attention to the analysis and identification of competitors. This paper takes Colgate as an example, and mines user review data to identify major and minor competitors through sentiment analysis techniques. This paper first collects and cleans the user review data of Colgate and its competing products, then calculates the sentiment weight of each product feature by using sentiment analysis techniques, and finally identifies Colgate's major and minor competitors by analyzing the similarity and complementarity of product features. This method not only helps Colgate to understand the competitive landscape of its market, but also provides a new and fine-grained way for other companies to identify competitors at the product level.

Liaoning Normal University (CN)
Openalex Percentile: Top 91%
Sentiment Analysis and Opinion Mining
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Product competitor identification analysis based on sentiment analysis — Ayong Wang, Supeng Zheng, et al. · (2025) | TGRS Research Map | TGRS