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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

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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