sentm 0.2.1

Lexical Sentiment and Text Complexity Analysis in Danish

senTM

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/

Installation

Install from pip:

pip install sentm

Quickstart

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:

• Score larger than 1: "positiv"
• Score between -1 and 1: "neutral"
• Score lower than -1: "negativ"

sentm_model.classify('Du er en kæmpe idiot!')