Mengshi Shi
Biographic Data
| ID | 7914640 |
|---|---|
| NAME | Mengshi Shi |
| GIVEN NAMES | Mengshi |
| FAMILY NAME | Shi |
| SIGNATURE | SHI M |
| AFFILIATIONS | Shanghai University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
What Are the Characteristics of User Texts and Behaviors in Chinese Depression Posts
Social media platforms provide unique insights into mental health issues, but a large number of related studies have focused on English text information. The purpose of this paper is to identify the posting content and posting behaviors of users with depression on Chinese social media. These clues may suggest signs of depression. We created two data sets consisting of 130 users with diagnosed depression and 320 other users that were randomly sele…
Detecting Suicidal Ideation in Social Media
Suicide has become a serious problem, and how to prevent suicide has become a very important research topic. Social media provides an ideal platform for monitoring suicidal ideation. This paper presents an integrated model for multidimensional information fusion. By integrating the best classification models determined by single and multiple features, different feature information is combined to better identify suicidal posts in online social med…
No prominent works on this page.
What Are the Characteristics of User Texts and Behaviors in Chinese Depression Posts
Social media platforms provide unique insights into mental health issues, but a large number of related studies have focused on English text information. The purpose of this paper is to identify the posting content and posting behaviors of users with depression on Chinese social media. These clues may suggest signs of depression. We created two data sets consisting of 130 users with diagnosed depression and 320 other users that were randomly sele…
Detecting Suicidal Ideation in Social Media
Suicide has become a serious problem, and how to prevent suicide has become a very important research topic. Social media provides an ideal platform for monitoring suicidal ideation. This paper presents an integrated model for multidimensional information fusion. By integrating the best classification models determined by single and multiple features, different feature information is combined to better identify suicidal posts in online social med…
Artificial Intelligence (2 works) · Computer Science (2 works) · Mental Health via Writing (2 works) · Sentiment Analysis and Opinion Mining (2 works) · Social media (2 works) · World Wide Web (2 works) · Anger (1 work) · Class (philosophy (1 work) · Clinical Psychology (1 work) · Clinical Psychology (1 work)