Hybrid Model for detecting sensitive content in textual Russian news feeds
Project description
Hybrid Model for Russian News Sentiment Analysis
ITMO University R&D Project
This repository contains source code with the implementation of the hybrid model for russian sentiment analysis task.
A package with the corresponding model can be downloaded from pypi:
pip install hybrid-model-for-russian-sentiment-analysis
Weights of the sub-models will be downloaded during the first usage of the model.
Source code: https://github.com/GitHub-User228/hybrid_model_for_russian_sentiment_analysis
An example usage of the hybrid model is presented in predict.py
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
File details
Details for the file hybrid_model_for_russian_sentiment_analysis-1.0.2-py3-none-any.whl.
File metadata
- Download URL: hybrid_model_for_russian_sentiment_analysis-1.0.2-py3-none-any.whl
- Upload date:
- Size: 19.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | cca31dac51f73e31a24206854a078c8ae01338b4b893e05f666fb14023cafaad |
|
| MD5 | 4afd583256234fd8cdf5cc9302675449 |
|
| BLAKE2b-256 | 82885f3247b43398bc0d15813146fe82f3400689934bfb45827cc77c2cf6c531 |
