A Python library for the detection and visualization of emotions in texts, coming soon with the first release ✨
EmoAtlas is a Python library that checks against the input text, after having enriched it and structured as a semantic network, against the multilingual NRC Lexicon. The library is built upon the Formamentis Networks from Stella et al. and the PyPlutchik library (paper here).
It has already been used for our analysis of the semantic and emotional frames around COVID-19 vaccines, repository here.
emolib installs with pip:
~$ pip install git+https://github.com/alfonsosemeraro/emoatlas
then install the relevant language using:
~$ python -m spacy download en_core_web_lg
the command above installs English, but a list of possible language codes can be found here, and different languages installed by changing en in the final argument to one of the listed language codes.
See the Jupyter notebooks in demos/ for examples of how to use emoatlas (Jupyter notebook required)