NLP Foundations
NLP Foundations
In this course you are invited to learn all the fundamental skills required in any kind of activity related to the Natural Language Processing and you will learn them from a theoretical and practical point of view, in fact you will seat together with me coding and implementing any topic step-by-step, instruction after instruction.
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Natural Language Processing (NLP) is a subfield of artificial intelligence and linguistics that focuses on the interaction between computers and human (natural) languages. The goal of NLP is to enable computers to understand, interpret, and generate human language in order to communicate with humans in a more natural and intuitive way.
There are several foundations that are important for understanding NLP, including:
- Language structure: This includes understanding the syntax and semantics of natural languages, as well as the rules for combining words and phrases to form meaningful sentences.
- Language processing: This involves the various steps and techniques used to analyze and understand natural language, such as tokenization, stemming, and part-of-speech tagging.
- Machine learning: NLP often involves the use of machine learning algorithms to analyze and understand large amounts of text data.
- Knowledge representation: This involves representing the meaning of natural language in a way that can be understood and manipulated by a computer, such as through the use of ontologies and semantic networks.
Overall, a strong foundation in NLP requires an understanding of language structure, language processing, machine learning, and knowledge representation, as well as the ability to apply these concepts to solve real-world problems.
