Skip to Main content Skip to Navigation
Conference papers

Learning from Social Media and Contextualisation

Abstract : Social media can be a rich source of information either to extract some trends (models)or peculiarities (weak signals). We focused in this talk on early depression detection from social media posts using machine learning techniques and presented some results. We also proposed to use the same type of model to detect and extract locations from short posts when user localisation is not available. Finally, we mentioned our current work on tweet contextualisation that aims helping users to understand short texts.
Keywords : Social media
Document type :
Conference papers
Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-02348226
Contributor : Open Archive Toulouse Archive Ouverte (oatao) <>
Submitted on : Thursday, November 7, 2019 - 12:46:28 PM
Last modification on : Tuesday, September 8, 2020 - 10:42:05 AM

Identifiers

  • HAL Id : hal-02348226, version 1
  • OATAO : 22354

Citation

Josiane Mothe. Learning from Social Media and Contextualisation. Dagstuhl Seminar 17301 (2017), Jul 2017, Dagstuhl, Germany. pp.121-121. ⟨hal-02348226⟩

Share

Metrics

Record views

23

Files downloads

6