Detecting and tracking depression through temporal topic modeling of tweets: insights from a 180-day study
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Detecting and tracking depression through temporal topic modeling of tweets: insights from a 180-day study ; volume:3 ; number:1 ; day:6 ; month:12 ; year:2024 ; pages:1-10 ; date:12.2024
npj mental health research ; 3, Heft 1 (6.12.2024), 1-10, 12.2024
- Urheber
-
Chandrasekaran, Ranganathan
Kotaki, Suhas
Nagaraja, Abhilash Hosaagrahaara
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s44184-024-00107-5
- URN
-
urn:nbn:de:101:1-2502202129507.039278593871
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:25 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Chandrasekaran, Ranganathan
- Kotaki, Suhas
- Nagaraja, Abhilash Hosaagrahaara
- SpringerLink (Online service)
Ähnliche Objekte (12)
Dependencies in Topic Delineation and Tracking
Topic detection and tracking on heterogeneous information
Day of the week to tweet: a randomised controlled trial
Tweet Capitel.
Tweet Capitel.
Tweet SPU
Classifying topics and detecting topic shifts in political manifestos
Using generative adversarial network to improve the accuracy of detecting AI-generated tweets
A TOPIC MODELING BASED REPRESENTATION TO DETECT TWEET LOCATIONS. EXAMPLE OF THE EVENT ”JE SUIS CHARLIE”
Pressetexte und Tweets
Pressetexte und Tweets
Detecting herding behavior using topic mining: the case of financial analysts
Dependencies in Topic Delineation and Tracking
Topic detection and tracking on heterogeneous information
Day of the week to tweet: a randomised controlled trial
Tweet Capitel.
Tweet Capitel.
Tweet SPU
Classifying topics and detecting topic shifts in political manifestos
Using generative adversarial network to improve the accuracy of detecting AI-generated tweets
A TOPIC MODELING BASED REPRESENTATION TO DETECT TWEET LOCATIONS. EXAMPLE OF THE EVENT ”JE SUIS CHARLIE”
Pressetexte und Tweets
Pressetexte und Tweets
Detecting herding behavior using topic mining: the case of financial analysts
Dependencies in Topic Delineation and Tracking
Topic detection and tracking on heterogeneous information
Day of the week to tweet: a randomised controlled trial
Tweet Capitel.
Tweet Capitel.
Tweet SPU
Classifying topics and detecting topic shifts in political manifestos
Using generative adversarial network to improve the accuracy of detecting AI-generated tweets
A TOPIC MODELING BASED REPRESENTATION TO DETECT TWEET LOCATIONS. EXAMPLE OF THE EVENT ”JE SUIS CHARLIE”
Pressetexte und Tweets
Pressetexte und Tweets