Natural Language Processing (NLP) is a field of artificial intelligence that focuses on the interaction between computers and humans through natural language. This guide provides an overview of NLP, its applications, and resources to learn more.
What is NLP?
NLP is the ability of computers to understand, interpret, and generate human language. It involves tasks such as text classification, sentiment analysis, machine translation, and speech recognition.
Applications of NLP
- Text Classification: Categorizing text into predefined categories, such as spam detection or sentiment analysis.
- Sentiment Analysis: Determining the sentiment of a piece of text, such as whether a review is positive or negative.
- Machine Translation: Translating text from one language to another.
- Speech Recognition: Converting spoken words into written text.
- Chatbots: Building conversational agents that can interact with users.
Resources
- Introduction to NLP
- Text Classification with Python
- Sentiment Analysis with Python
- Machine Translation with Python
- Speech Recognition with Python
NLP Workflow
Conclusion
NLP is a rapidly growing field with numerous applications. By understanding the basics of NLP, you can leverage its power to build innovative solutions.
For more information on NLP, check out our comprehensive guide on Natural Language Processing.