Metadata-Version: 2.1
Name: sentm
Version: 0.1.0
Summary: Lexical Sentiment Analysis in Danish
Home-page: https://github.com/MadsLang/senTM
Author: MadsLang
Author-email: madslangs@gmail.com
Requires-Python: >=3.9,<4.0
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.9
Requires-Dist: da-core-news-sm @ https://github.com/explosion/spacy-models/releases/download/da_core_news_sm-3.5.0/da_core_news_sm-3.5.0-py3-none-any.whl
Requires-Dist: pandas (>=1.5.2,<2.0.0)
Requires-Dist: spacy (>=3.5.0,<4.0.0)
Project-URL: Repository, https://github.com/MadsLang/senTM
Description-Content-Type: text/markdown


# senTM

Pronounced "sen-T-M". 

senTM is a lexical approach to sentiment analysis in Danish. The approach is inspired by the [afinn](https://github.com/fnielsen/afinn) package, but using the [Danish Sentiment Lexicon version 0.2 (2022-12-20)](https://github.com/dsldk/danish-sentiment-lexicon). 

The approach use the part-of-speech (POS) model from Spacy and then matches any tokens from the Danish Sentiment Lexicon. 

License: Same as [Danish Sentiment Lexicon version 0.2 (2022-12-20)](https://github.com/dsldk/danish-sentiment-lexicon): CC-BY-SA 4.0 International https://creativecommons.org/licenses/by-sa/4.0/
