Natural Language Processing (NLP) is a fascinating field within artificial intelligence that focuses on enabling machines to understand, interpret, and generate human language. Below is an overview of key NLP projects and their applications:
📌 Core Applications of NLP
- Language Understanding: Parsing and analyzing text for sentiment, entities, and intent
- Machine Translation: Converting text between languages with accuracy
- Chatbots & Virtual Assistants: Building conversational agents for customer service
🧠 Key Technologies
| Technology | Description | Example Use Case |
|---|---|---|
| Neural Networks | Deep learning models for sequence tasks | Text classification |
| Transformers | Attention-based architectures | Language modeling (e.g., BERT) |
| Tokenization | Breaking text into meaningful units | Word segmentation |
🌐 Explore More
For advanced NLP implementations, check our machine learning projects section. Want to dive deeper into specific NLP techniques? Learn about language models here.