OLAC Record

Title:Sentiment Analysis (Czech Model)
Bibliographic Citation:http://hdl.handle.net/11234/1-4601
Creator:Vysušilová, Petra
Straka, Milan
Date (W3CDTF):2021-11-05T10:19:07Z
Date Available:2021-11-05T10:19:07Z
Description:Sentiment analysis models for Czech language. Models are three Czech sentiment analysis datasets(http://liks.fav.zcu.cz/sentiment/): Mall, CSFD, Facebook, and joint data from all three datasets above, using Czech version of BERT model, RobeCzech. We present the best model for every dataset. Mall and CSFD models are new state-of-the-art for respective data. Demo jupyter notebook is available on the project GitHub. These models are a part of Czech NLP with Contextualized Embeddings master thesis.
Identifier (URI):http://hdl.handle.net/11234/1-4601
Language (ISO639):ces
Publisher:Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Rights:Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Subject:sentiment analysis
Czech language
Subject (ISO639):ces
Type (DCMI):Text
Type (OLAC):language_description


Archive:  LINDAT/CLARIAH-CZ digital library at the Institute of Formal and Applied Linguistics (ÚFAL), Faculty of Mathematics and Physics, Charles University
Description:  http://www.language-archives.org/archive/lindat.mff.cuni.cz
GetRecord:  OAI-PMH request for OLAC format
GetRecord:  Pre-generated XML file

OAI Info

OaiIdentifier:  oai:lindat.mff.cuni.cz:11234/1-4601
DateStamp:  2021-11-05
GetRecord:  OAI-PMH request for simple DC format

Search Info

Citation: Vysušilová, Petra; Straka, Milan. 2021. Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL).
Terms: area_Europe country_CZ dcmi_Text iso639_ces olac_language_description

Inferred Metadata

Country: Czech Republic
Area: Europe

Up-to-date as of: Thu Oct 5 0:43:07 EDT 2023