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https://github.com/jakartaresearch/pytorch-sentiment
Sentiment Analysis Framework for Researcher with Pytorch
https://github.com/jakartaresearch/pytorch-sentiment
machine-learning natural-language-processing research-framework sentiment-analysis
Last synced: 20 days ago
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Sentiment Analysis Framework for Researcher with Pytorch
- Host: GitHub
- URL: https://github.com/jakartaresearch/pytorch-sentiment
- Owner: jakartaresearch
- License: mit
- Created: 2020-07-26T07:34:25.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2022-11-28T05:59:33.000Z (almost 2 years ago)
- Last Synced: 2024-09-15T01:13:53.769Z (2 months ago)
- Topics: machine-learning, natural-language-processing, research-framework, sentiment-analysis
- Language: Python
- Homepage:
- Size: 32.2 KB
- Stars: 7
- Watchers: 1
- Forks: 3
- Open Issues: 34
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# TorchSenti
Sentiment Analysis Library for Research with PyTorch
TorchSenti provides sentiment analysis datasets from a simple one (positive/negative labels) to fine-grained one (aspect-based). TorchSenti is compatible with PyTorch to develop model and use pre-trained model to benchmark your work with other researchers.
#### Features
- Text Cleansing e.g removing hyperlinks
- WordPiece Tokenization with tagging for aspect extraction
- Entity metrics for aspect detection#### Dataset Available
- **Sentiment Analysis**
- IMDB Movie Reviews
- Pros and Cons
- Movie Review
- Trip Advisor
- City Search Data
- Yelp Review
- **Aspect-based Sentiment Analysis**
- SemEval 2014 Task 4 (ToDo)
- SemEval 2015 Task 12 (ToDo)
- SemEval 2016 Task 5 (ToDo)## Installation
You can install TorchSenti using pip```
pip install torchsenti
```from source
```
git clone https://github.com/jakartaresearch/pytorch-sentiment.git
cd pytorch-sentiment
python setup.py install
```## Getting Started
## Contributors