🌐 Welcome to the NLP Master Repository: Empower Natural Language Processing with Your Contributions!
Hello, passionate developers and NLP enthusiasts! 🚀
Embark on a journey to revolutionize Natural Language Processing (NLP) with the NLP Master Repository. As we embrace the power of collaboration, I invite you to contribute your expertise, creativity, and innovation to shape the future of NLP.
Why Contribute?
- Impactful Domains: Choose from a diverse range of NLP domains, including text classification, sentiment analysis, machine translation, and more.
- Visibility: Showcase your projects to a global community of developers and NLP enthusiasts.
- Learning Opportunities: Explore cutting-edge NLP projects, learn from experienced contributors, and expand your skill set.
Guidelines for Success:
- Ensure your project aligns with the specified NLP domain.
- Create a well-structured README to enhance user understanding.
- Follow existing formatting and contribute responsibly.
Join the Movement: Let's create an unparalleled resource for the NLP community! Contribute to the NLP Master Repository and be part of a global celebration of open source during Hacktoberfest.
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- Assigning predefined categories or labels to a given text.
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Named Entity Recognition (NER)
- Identifying and classifying entities (people, organizations, locations) in a text.
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- Determining the sentiment expressed in a piece of text (positive, negative, neutral).
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- Generating a concise and coherent summary of a given text.
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- Translating text from one language to another automatically.
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- Building models that can answer questions posed in natural language.
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- Converting spoken language into written text.
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- Identifying when two or more expressions in a text refer to the same entity.
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- Identifying the predicate-argument structures in a sentence.
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- Creating human-like text based on a given input or context.
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- Identifying relationships between entities in a text.
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- Assigning categories to entire documents.
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- Assigning grammatical categories (like noun, verb, adjective) to words in a sentence.
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- Identifying topics present in a collection of texts.
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- Analyzing the grammatical structure of a sentence.
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- Developing models that predict the likelihood of a sequence of words.
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- Creating virtual agents that can engage in natural language conversations.
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- Identifying and analyzing humor in text.
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- Generating a summary that is not a verbatim copy of parts of the original text.
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- Detecting instances of irony or sarcasm in text.
If you have an NLP project that falls under any of the domains listed above, you can contribute by adding your project to the relevant category. Follow these steps:
- Fork the repository.
- Clone your forked repository:
git clone https://github.com/your-username/NLP-Master.git - Create a new branch for your project:
git checkout -b feature/project-name - Add your project to the corresponding category in the README.
- Commit your changes:
git commit -m "Add project: Project Name" - Push to the branch:
git push origin feature/project-name - Submit a pull request.
- Make a directory ( Ex. Twitter Sentiment Analysis ) inside the respective folder (Ex. Sentiment Analysis ).
- Add all required files into the dirctory (Ex. Datasets, python files, or notebook).
- Include a clear and concise README within your project folder (Ex. Twitter Sentiment Analysis ) that provides details about your project, how to run it, and any other relevant information..
- Follow the existing formatting and structure.
This repository and all projects within it are licensed under the MIT License.
Happy contributing!