Detecting condolence, distress, and empathy in text
Project description
Condolence Models
Intro
condolence-models
is a package used to detect condolence and distress
expressions, as well as empathetic comments. It is released with the
EMNLP 2020 paper Condolence and Empathy in Online Commmunities
.
Install
Use pip
If pip
is installed, question-intimacy could be installed directly from it:
pip3 install condolence-models
Dependencies
python>=3.6.0
torch>=1.6.0
pytorch-transformers
markdown
beautifulsoup4
numpy
tqdm
simpletransformers
pandas
numpy
Usage and Example
Contact
Naitian Zhou (naitian@umich.edu)
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for condolence_models-0.0.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 54f267540dc17e5426561c61f3cd4da9579df54a7190f810120df906935ffbb2 |
|
MD5 | 8ad525409a1f002e447f8ec0bead7a97 |
|
BLAKE2b-256 | 62786393be878339cfc1cf46c2f1039327953758d5ce222cbf46c4f26c0d11e3 |