Sentiment Analysis of Search Terms and Posts on Mother-targeted Websites

Abstract

In recent years, online services for gathering information and facilitating interaction related to pregnancy, childbirth, and child rearing have become widespread among women. The search behaviors and posts of users utilizing these services often reflect the concerns of mothers. This paper attempts to analyze the search terms and post contents on mother-targeted websites, with the aim of elucidating the relationship between a mother’s concerns and sentiments. Furthermore, by comparing data from fiscal years 2019 and 2020, we also investigate the impact of the COVID-19 pandemic on mothers.