Inspired by Vader, made using SpaCy, transparent from the start.

Installing Asent is simple using pip:

pip install asent

There is no reason to update from GitHub as the version on pypi should always be the same of on GitHub.

The following shows a simple example of how you can quickly apply sentiment analysis using asent. For more on using asent see the usage guides.

import spacy
import asent

# load spacy pipeline
nlp = spacy.load("da_core_news_lg")

# add the rule-based sentiment model
nlp.add_pipe("asent_da_v1")

# try an example
text = "jeg er ikke længere sur. 👿"
doc = nlp(text)

# visualize the results
asent.visualize(doc)

If you use this library in your research, please cite it using:

@inproceedings{asent2021,
  title={Asent: Fast, flexible and transparent sentiment analysis},
  author={Kenneth Enevoldsen},
  year={2021}
}