id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-124191-38i44n0m	Okoshi, Tadashi	NationalMood: Large-scale Estimation of People's Mood from Web Search Query and Mobile Sensor Data	2020-11-02		.txt	text/plain	6520	359	63	Our large-scale data analysis with about 11,000,000 users and 100 recent advertisement log revealed (1) the existence of certain class of advertisement to which mood-status-based delivery would be significantly effective, (2) that our"National Mood Score"shows the ups and downs of people's moods in COVID-19 pandemic that inversely correlated to the number of patients, as well as the weekly mood rhythm of people. In this paper, as the first contribution, we show that we can estimate the web users' affective status (concretely, "mood") in such a condition, based on a novel combinational use of their web search queries and mobile sensor data. Then, by combining the web search logs of the 460 participants during the study period and mood status (based on both the users' original annotation and SMM's outputs), we create our second model "QMM", which estimates the mood of a user from their search query data.	./cache/cord-124191-38i44n0m.txt	./txt/cord-124191-38i44n0m.txt