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Glossary /  
Data Science
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Natural Language Processing - NLP

Natural Language Processing - NLP

Category:
Data Science Concept
Level:
Basic
Related concepts:
NLP & Image Models
BERT
word2vec
LDA
Embedding

Natural Language Processing (NLP) is a subfield of Data Science that deals with the interaction between human language and computers. The goal of NLP is to enable computers to understand, interpret, and generate human language.


Key Highlights

  • NLP is used in a variety of applications, including chatbots, sentiment analysis, and machine translation.
  • NLP involves several tasks such as tokenization, part-of-speech tagging, and named entity recognition.
  • Deep learning models, such as BERT and word2vec, have revolutionized NLP in recent years.

References

Applying NLP to Business

NLP can be applied to various business use cases. For example, businesses can use chatbots powered by NLP to provide customer support 24/7. NLP can also be used for sentiment analysis to understand customers' opinions about products or services. This information can help businesses improve their offerings and make data-driven decisions. NLP can also be used for machine translation to communicate with customers in different languages, opening up new markets and business opportunities.