@techreport{oai:ipsj.ixsq.nii.ac.jp:00216746,
 author = {Wataru, Sasaki and Tadashi, Okoshi and Keisuke, Uehara and Yasuto, Nakanishi and Jin, Nakazwa and Wataru, Sasaki and Tadashi, Okoshi and Keisuke, Uehara and Yasuto, Nakanishi and Jin, Nakazwa},
 issue = {30},
 month = {Feb},
 note = {With the advances in computer technology and the pervasiveness of the Internet, people's lives continue to change significantly. Most have multiple smart devices with a wide variety of applications. They communicate remotely via the Internet, and purchase diverse items, not limited to daily necessities, from online shops. In an era where people around the world are connected and share their circumstances via the Internet, detecting the emotional state of users has considerable potential to enable the provision of user-centric services tailored to specific user statuses and needs. However, considering the user's convenience, estimating Internet users' emotional states is difficult in real-world situations. To address the problem, due to almost all Internet users regularly using search engines, this study targets users' queries input to web search engines as an easily obtainable and non-invasive proxy feature to elucidate users' emotional states. Because web services typically store the historical logs of users' search queries on the server-side, they can be used immediately without awaiting the widespread adoption of new types of sensors. This study predicts users' online web behavior based on their emotional states estimated from large-scale real-world data. In addition, the weekly rhythm of the emotional state and the relationship between the number of new COVID-19 infected people and the ups and downs of the emotional state were clarified., With the advances in computer technology and the pervasiveness of the Internet, people's lives continue to change significantly. Most have multiple smart devices with a wide variety of applications. They communicate remotely via the Internet, and purchase diverse items, not limited to daily necessities, from online shops. In an era where people around the world are connected and share their circumstances via the Internet, detecting the emotional state of users has considerable potential to enable the provision of user-centric services tailored to specific user statuses and needs. However, considering the user's convenience, estimating Internet users' emotional states is difficult in real-world situations. To address the problem, due to almost all Internet users regularly using search engines, this study targets users' queries input to web search engines as an easily obtainable and non-invasive proxy feature to elucidate users' emotional states. Because web services typically store the historical logs of users' search queries on the server-side, they can be used immediately without awaiting the widespread adoption of new types of sensors. This study predicts users' online web behavior based on their emotional states estimated from large-scale real-world data. In addition, the weekly rhythm of the emotional state and the relationship between the number of new COVID-19 infected people and the ups and downs of the emotional state were clarified.},
 title = {Estimating Emotional States of Internet Users in Real-World Situation},
 year = {2022}
}