TY - GEN
T1 - A Study of Factors Having Suicidal Thoughts in the Japanese
AU - Takashima, Kinoka
AU - Asahi, Yumi
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - Japan’s suicide death rate is one of the highest in the world, especially among young people. According to a 2022 survey, about half of young people have had feelings of wanting to die in the past. In order to solve this problem, it is necessary to listen to the actual voices of those who have suicidal thoughts and understand their backgrounds and factors. The purpose of this study is to capture the events that contribute to Japanese people having suicidal thoughts from the actual text data submitted. In addition, by creating time-series data, we will visualize how the factors that cause people to have suicidal thoughts are changing. Using the data of questions posted on Yahoo! Chiebukuro, we extracted questions containing “Shinitai” (English: wanting to die) and conducted co-occurrence network analysis by nouns. From the co-occurrence network analysis, we were able to divide the nouns that frequently occur in the actual statements of people who have suicidal thoughts into six groups. Next, for each of the extracted nouns, we obtained the TF value (Term Frequency) over a period of time and observed its change over time in order to measure how much the word accounted for the sentences posted over a given period of time. There was a strong change in values from month to month, and no significant increase or decrease in the yearly transition was observed. Observations by time period showed that some words had higher TF values at certain times of the day.
AB - Japan’s suicide death rate is one of the highest in the world, especially among young people. According to a 2022 survey, about half of young people have had feelings of wanting to die in the past. In order to solve this problem, it is necessary to listen to the actual voices of those who have suicidal thoughts and understand their backgrounds and factors. The purpose of this study is to capture the events that contribute to Japanese people having suicidal thoughts from the actual text data submitted. In addition, by creating time-series data, we will visualize how the factors that cause people to have suicidal thoughts are changing. Using the data of questions posted on Yahoo! Chiebukuro, we extracted questions containing “Shinitai” (English: wanting to die) and conducted co-occurrence network analysis by nouns. From the co-occurrence network analysis, we were able to divide the nouns that frequently occur in the actual statements of people who have suicidal thoughts into six groups. Next, for each of the extracted nouns, we obtained the TF value (Term Frequency) over a period of time and observed its change over time in order to measure how much the word accounted for the sentences posted over a given period of time. There was a strong change in values from month to month, and no significant increase or decrease in the yearly transition was observed. Observations by time period showed that some words had higher TF values at certain times of the day.
KW - Q&A site
KW - suicidal thoughts
KW - text mining
UR - http://www.scopus.com/inward/record.url?scp=85196070911&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-60114-9_19
DO - 10.1007/978-3-031-60114-9_19
M3 - Conference contribution
AN - SCOPUS:85196070911
SN - 9783031601132
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 262
EP - 275
BT - Human Interface and the Management of Information - Thematic Area, HIMI 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings
A2 - Mori, Hirohiko
A2 - Asahi, Yumi
PB - Springer Science and Business Media Deutschland GmbH
T2 - Thematic Area Human Interface and the Management of Information, HIMI 2024, Held as Part of the 26th HCI International Conference, HCII 2024
Y2 - 29 June 2024 through 4 July 2024
ER -