orange3-nlp-jezyk-polski
Zbiór widgetów Orange3 do przetwarzania języka naturalnego w języku polskim.
Instalacja
W instalatorze dodatków kliknij „Dodaj więcej...” i wpisz orange3-nlp-jezyk-polski
Widgety
Możesz stworzyć przepływ pracy do analizy sentymentu tekstu w języku polskim z wykorzystaniem biblioteki sentimentPL. SentimentPL, stworzony przez PhilVec, to model oparty na HerBERT, wytrenowany na zbiorze danych PolEmo2.0/CLARIN-PL. Zwraca ciągły wynik sentymentu w zakresie od -1 (negatywny) do +1 (pozytywny).
1 maintainer
Release files for orange3-nlp-jezyk-polski 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| orange3_nlp_jezyk_polski-0.0.1.tar.gz | 19.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| orange3_nlp_jezyk_polski-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 39.1 kB
Release files / orange3_nlp_jezyk_polski-0.0.1.tar.gz
| Download URL | orange3_nlp_jezyk_polski-0.0.1.tar.gz |
|---|---|
| Size | 19.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.0
|
Release files / orange3_nlp_jezyk_polski-0.0.1-py3-none-any.whl
| Download URL | orange3_nlp_jezyk_polski-0.0.1-py3-none-any.whl |
|---|---|
| Size | 19.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
b54bae88683f25d7abe2e1333d2d52cfd1b13c77a895092090f2b0c5ee58db06
|
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BLAKE2b-256 checksum How to use checksums |
3189d39f71d755518cf954bd7a0820d44c3e6200c9573d92701c25a9a23eea67
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.0
|
