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dc.contributor.author Vysušilová, Petra
dc.contributor.author Straka, Milan
dc.date.accessioned 2021-11-05T10:19:07Z
dc.date.available 2021-11-05T10:19:07Z
dc.date.issued 2021
dc.identifier.uri http://hdl.handle.net/11234/1-4601
dc.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.
dc.language.iso ces
dc.publisher Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
dc.relation.isreferencedby https://dspace.cuni.cz/handle/20.500.11956/147648
dc.rights Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subject sentiment analysis
dc.subject BERT
dc.title Sentiment Analysis (Czech Model)
dc.type languageDescription
metashare.ResourceInfo#ContentInfo.mediaType text
metashare.ResourceInfo#ContentInfo.detailedType mlmodel
dc.rights.label PUB
has.files yes
branding LINDAT / CLARIAH-CZ
demo.uri https://github.com/flower-go/DiplomaThesis
contact.person Petra Vysušilová vysusilova@ktiml.mff.cuni.cz Charles University, Faculty of Mathematics and Physics
files.size 2771065313
files.count 5


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forms.vectors-w5-d300-ns5.16b.npz
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Pretrained embeddings needed for the model construction
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model for Facebook data
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    • sentiment_analysis.py-2021-06-08_172844-a=12,bs=4,b=...data-00000-of-00001-1 B
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model for CSFD data
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model for joined datasets
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    • sentiment_analysis.py-2021-07-02_181019-a=32,bs=1,b=...data-00000-of-00001-1 B
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Model for Mall dataset
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