AI With Python – Natural Language Processing (NLP)
Natural language processing focusses on interaction between computers and human language. NLP enables machines to understand, interpret and generate human-like text, allowing for seamless communication. The foundations of Natural Language Processing (NLP) encompass the fundamental principles and techniques that enable machines to understand, interpret, and generate human language. Key components include:
Text Processing and Representation
Text processing and representation in NLP refer to the task to handle and transform textual data for analysis and machine learning applications. Text processing is used to manipulate and prepare textual data for analysis and text representation involves converting textual information into a format that can be efficiently processed and understood by machines. Below are the methods to process and represent text:
Text Processing
Text Representation
Lexical Semantics
Lexical semantics focuses on the meaning of words and their relationships within a language and explore how words convey meaning.
- Word Sense Disambiguation
- Semantic Similarity
AI With Python Tutorial
In this AI with Python tutorial, you’ll explore the fundamental and advanced concepts of artificial intelligence (AI) using the Python programming language. Whether you’re a complete beginner or an experienced professional, this tutorial is tailored to meet your learning needs, offering a step-by-step approach to mastering AI techniques with Python.
From understanding basic concepts to exploring advanced algorithms and applications, this tutorial equips you with the essential skills and knowledge to dive into the exciting world of AI. Whether you’re looking your build your career in AI or enhance your existing skills, this tutorial provides a solid foundation for your AI journey.
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