Welcome to the "Natural Language Projects" repository! Dive into the future of NLP with our collection of cutting-edge projects. Whether you're a beginner or a seasoned NLP enthusiast, you'll find a galaxy of projects here to elevate your skills.
Dive into the fundamentals of NLP with these foundational projects:
| Text Classification | Classify text into predefined categories, such as news articles, product reviews, or social media posts. |
| Spam Detection | Identify spam emails or SMS messages. |
| Named Entity Recognition (NER) | Identify and classify named entities in text, such as people, organizations, and locations. |
| Sentiment Analysis | Determine the sentiment of text, such as whether it is positive, negative, or neutral. |
| Text Summarization | Generate a shorter version of the text that retains the most important information. |
| Question Answering | Build a system that can answer questions posed in natural language. |
| More Projects Coming Soon♾️ | |
Level up your NLP game with these intermediate projects:
| Chatbot | Develop a chatbot that can interact with users in natural language. |
| Machine Translation | Translate text from one language to another. |
| Text Generation | Generate text, such as poems, code, or scripts. |
| Natural Language Inference | Determine whether one statement implies another statement. |
| Text Similarity | Measure the similarity between two pieces of text. |
| More Projects Coming Soon♾️ | |
Embark on futuristic NLP adventures with these advanced projects:
| Text Mining | Extract knowledge from large amounts of text data. |
| Natural Language Understanding | Enhance your system to understand the meaning of text in a more human-like way, including idiomatic expressions and context. |
| Natural Language Generation | Generate text that is indistinguishable from human-written text, aiming for high-quality content generation. |
| Question Answering over Knowledge Graphs | Develop a system that answers questions posed in natural language by accessing and reasoning over a knowledge graph. |
| Document Clustering | Implement algorithms for grouping similar documents together in large datasets. |
| Sentiment Analysis for Social Media | Extend sentiment analysis to handle social media data, including understanding emojis and slang. |
| Text-to-Speech Synthesis | Create a text-to-speech system that converts written text into natural-sounding speech. |
| Cross-lingual NLP | Explore NLP tasks that involve multiple languages, such as cross-lingual sentiment analysis or translation between less common language pairs. |
| Aspect-Based Sentiment Analysis | Analyze sentiment at a more granular level by identifying sentiments towards specific aspects or features of products or services in reviews. |
| Document Summarization with Reinforcement Learning | Employ reinforcement learning techniques to improve document summarization models. |
| Information Retrieval | Build an information retrieval system that retrieves relevant documents in response to user queries. |
| NLP for Healthcare | Apply NLP techniques to analyze medical records, extract medical information, or assist in diagnosing diseases. |
| Legal Document Analysis | Develop NLP solutions for legal document review, contract analysis, or legal research. |
| Language Model Fine-Tuning | Fine-tune pre-trained language models like BERT or GPT for domain-specific tasks, such as financial analysis or scientific document summarization. |
| More Projects Coming Soon♾️ | |
Each project in this repository includes its own directory with detailed instructions and code. Feel free to explore the projects, clone the repository, and start working on them to expand your NLP skills.
Join us on this journey to the future of NLP! If you have any NLP projects or improvements to existing ones, please fork this repository, make your changes, and submit a pull request. Contributions are highly appreciated!
This repository is open-source and available under the [MIT License](LICENSE). You are free to use the projects for your learning and development.
Happy coding and exploring the future of Natural Language Processing! 🌟
