Customers’ Emotions towards Digikala Online Retail Services during COVID Pandemic: A Twitter Dataset Based Analysis

Document Type : Case Study

Authors

Department of Mathematics, Lahijan Branch, Islamic Azad University, Lahijan, Iran

Abstract

The main purpose of this research is to identify the concerns of Digikala's online customers during Corona Crisis, which has been discussed and shared among Twitter users. This study collects hashtag-based tweets related to digital goods that cover the 2020 period. To analyze the tweets, text analytical methods such as thematic modeling, emotion analysis, and word clouds are used. In this way, the most important topics discussed on Twitter have been discovered, then customer dissatisfaction has been determined. Afterward, the obtained results were compared with previous in the field of online retail services. Further, noticed that the trend of unforeseen trending hashtags related to digital goods in the last year, which identifies other factors that users are discussing. This study gives us an insight into how the brand operates in the Covid-19 crisis. Analysis of this information can be used to improve online retail services and access to customer needs.

Keywords

Main Subjects


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