Natural Language Processing (NLP) Overview

• NLP is a field of study that uses computer algorithms to interpret human language.
• NLP can be used to make text more accessible and efficient to computer-assisted analysis.
• NLP is useful for personal assistants, such as Alexa, to understand spoken word, and for performing sentiment analysis.
• NLP is also used for advanced analytics that were previously unreachable due to data volume.
• There are a number of challenges of natural language processing, the most significant of which is the ever-evolving and ambiguous nature of human language.
• The development of artificial intelligence (AI) in the 1950s-1990s involved the use of rules to interpret language.
• This approach, known as rule-based artificial intelligence (RB AI), was largely based on the work of linguists.
• In the late 1990s, a new approach to AI called natural language processing (NLP) was developed.
• This approach uses automated interpretation of language to determine how computers should process it.
• NLP has since been used to create computer programs that can understand human speech.

Explore the fundamentals of natural language processing (NLP) and its applications in computer-assisted analysis, personal assistants, sentiment analysis, and advanced analytics. Delve into the challenges of NLP and the transition from rule-based artificial intelligence to NLP in the late 1990s.