Pronounced "sen-T-M".
senTM is a lexical approach to sentiment analysis in Danish. The approach is inspired by the afinn package, but using the Danish Sentiment Lexicon version 0.2 (2022-12-20).
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): CC-BY-SA 4.0 International https://creativecommons.org/licenses/by-sa/4.0/
Install from pip:
pip install sentm
First initialize model.
from sentm.sentm import senTM
sentm_model = senTM()
You can both get sentiment score:
sentm_model.score('Du er en kæmpe idiot!')
You can also use it as a classifier. Here, the labels are determined by:
sentm_model.classify('Du er en kæmpe idiot!')
FAQs
Lexical Sentiment and Text Complexity Analysis in Danish
We found that sentm demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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