Metadata-Version: 2.1
Name: torchsenti
Version: 0.0.3
Summary: A Sentiment Analysis Library for Research on top of PyTorch
Home-page: https://github.com/jakartaresearch/pytorch-sentiment
Author: Ruben Stefanus, Andreas Chandra, and Andhika Setia Pratama
Author-email: researchjair@gmail.com
License: MIT
Description: # 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
        
        
Keywords: sentiment-analysis,pytorch,deep-learning,machine-learning
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
