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eNauka >  Rezultati >  Semantic Similarity and Sentiment Analysis of Short Texts in Serbian
Naziv: Semantic Similarity and Sentiment Analysis of Short Texts in Serbian
Autori: Batanovic, Vuk  
Godina: 2021
Publikacija: 2021 29TH TELECOMMUNICATIONS FORUM (TELFOR)
Tip rezultata: Konferencijski rad
DOI: 10.1109/TELFOR52709.2021.9653390
WoS-ID: 000838086600149
Scopus-ID: 2-s2.0-85124588959
URI: https://enauka.gov.rs/handle/123456789/817608
Projekat: AVANTES - Advancing Novel Textual Similarity-Based Solutions in Software Development
Izvor metapodataka: (Preuzeto iz Nasi u WoS)
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