{"id":21444194,"url":"https://github.com/jack-development/text2sentiment","last_synced_at":"2025-03-17T01:16:03.376Z","repository":{"id":183064975,"uuid":"669500149","full_name":"Jack-Development/Text2Sentiment","owner":"Jack-Development","description":"A flexible PyTorch-based framework for sentiment analysis tasks, easily adaptable to diverse text datasets. 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This repository is specifically designed for PyTorch and can be applied to numerous different datasets.\n\nInspired by [bentrevett's PyTorch Sentiment Analysis](https://github.com/bentrevett/pytorch-sentiment-analysis/blob/master/1%20-%20Simple%20Sentiment%20Analysis.ipynb) and the [PyTorch Documentation Examples](https://github.com/pytorch/tutorials/blob/main/beginner_source/text_sentiment_ngrams_tutorial.py), this project was created to modernize older resources and replace the usage of legacy packages.\n\nThe initial implementation performs Sentiment Analysis on the TorchText IMDB dataset, but the architecture of the codebase allows for easy adaptation to other text datasets.\n\n## Skills and Technologies Used\n\nThe project heavily relies on:\n\n- Python\n- PyTorch\n- Ubuntu\n\n\u003cdiv\u003e\n  \u003ccode\u003e\u003cimg height=\"50\" src=\"https://github.com/devicons/devicon/blob/master/icons/python/python-original.svg\" alt=\"python\"\u003e\u003c/code\u003e\n  \u003ccode\u003e\u003cimg height=\"50\" src=\"https://github.com/devicons/devicon/blob/master/icons/pytorch/pytorch-original.svg\" alt=\"pytorch\"\u003e\u003c/code\u003e\n  \u003ccode\u003e\u003cimg height=\"50\" src=\"https://github.com/devicons/devicon/blob/master/icons/ubuntu/ubuntu-plain.svg\" alt=\"ubuntu\"\u003e\u003c/code\u003e\n\u003c/div\u003e\n\n## Getting Started\n\n_Coming soon..._\n\nA detailed guide on how to use this project will be published shortly. The guide will contain information about how to adapt the codebase to work with various text datasets.\n\n## Contributing\n\nContributions, issues and feature requests are welcome. Feel free to check [issues page](https://github.com/Jack-Development/TextClassification/issues) if you want to contribute.\n\n## License\n\nThis project is [MIT](https://choosealicense.com/licenses/mit/) licensed.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjack-development%2Ftext2sentiment","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjack-development%2Ftext2sentiment","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjack-development%2Ftext2sentiment/lists"}