Apprentissage bay\'esien incr\'emental pour la d\'etermination de l'\^age et du genre d'utilisateurs de plateformes du web social (UGC text-based age \& gender author profiling through incrementally semi-supervised bayesian learning)

JEPTALNRECITAL 2016 Jugurtha A{\"\i}t Hamlat

Les m{\'e}thodes de classification textuelles bas{\'e}es sur l{'}apprentissage automatique ont l{'}avantage, en plus d{'}{\^e}tre robustes, de fournir des r{\'e}sultats satisfaisants, sous r{\'e}serve de disposer d{'}une base d{'}entra{\^\i}nement de qualit{\'e} et en quantit{\'e} suffisante. Les corpus d{'}apprentissage {\'e}tant co{\^u}teux {\`a} construire, leur carence {\`a} grande {\'e}chelle se r{\'e}v{\`e}le {\^e}tre l{'}une des principales causes d{'}erreurs... (read more)

PDF Abstract

Code


No code implementations yet. Submit your code now

Tasks


Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet