Research Article
Research on Online Comment Reply Topics Based on LDA
@INPROCEEDINGS{10.4108/eai.24-2-2023.2330653, author={Lianjun Cheng and YuanSi Xiao}, title={Research on Online Comment Reply Topics Based on LDA}, proceedings={Proceedings of the 2nd International Conference on Engineering Management and Information Science, EMIS 2023, February 24-26, 2023, Chengdu, China}, publisher={EAI}, proceedings_a={EMIS}, year={2023}, month={6}, keywords={lda reply to topic comment reply}, doi={10.4108/eai.24-2-2023.2330653} }- Lianjun Cheng
YuanSi Xiao
Year: 2023
Research on Online Comment Reply Topics Based on LDA
EMIS
EAI
DOI: 10.4108/eai.24-2-2023.2330653
Abstract
Online shopping has become a mainstream consumption mode. As an important tool to evaluate online shopping experience, online comments have been studied repeatedly on their usefulness and comment topics. However, few scholars have explored which aspects managers mainly respond to. In this paper, the mobile phone industry is taken as a template and the LDA model based on TF-IDF is used to calculate the number and semantic intensity of evaluation and reply topics. Through this model, the author summarizes the topics most often used by managers when responding to consumer comments. The results showed that managers were more likely to rate the phone's hardware and promotions when evaluating the response reviews.
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