Assessing semantic similarity of texts – Methods and algorithms | Zendy

Anna Rozeva | Zendy; Silvia Zerkova | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Assessing semantic similarity of texts – Methods and algorithms

Author(s) -

Anna Rozeva,

Silvia Zerkova

Publication year - 2017

Publication title -

aip conference proceedings

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.177

H-Index - 75

eISSN - 1551-7616

pISSN - 0094-243X

DOI - 10.1063/1.5014006

Subject(s) - automatic summarization , computer science , latent semantic analysis , semantic similarity , similarity (geometry) , vector space model , explicit semantic analysis , information retrieval , natural language processing , semantics (computer science) , representation (politics) , curse of dimensionality , artificial intelligence , probabilistic latent semantic analysis , task (project management) , vector space , semantic computing , semantic technology , semantic web , mathematics , politics , political science , law , image (mathematics) , programming language , geometry , management , economics

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research