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Greetings and welcome to Ramarkable, where we delve into the fascinating world of Natural Language Processing ( NLP ). In today 's digital age, NLP plays a crucial role in enabling computers to understand, interpret, and generate human language. This podcast episode aims to unravel the wonders of NLP by exploring its various techniques and applications. NLP, at its core, seeks to bridge the gap between human language and machine understanding. From its early days of rule-based systems to the modern machine learning approaches, NLP has come a long way in enhancing communication between humans and machines. Key components of NLP, such as tokenization, stemming, lemmatization, and part-of-speech tagging, are essential in processing and analyzing human language.
Support me here:
https://ramarkablevision.com/pages/patrick-miller
By ThiagoGreetings and welcome to Ramarkable, where we delve into the fascinating world of Natural Language Processing ( NLP ). In today 's digital age, NLP plays a crucial role in enabling computers to understand, interpret, and generate human language. This podcast episode aims to unravel the wonders of NLP by exploring its various techniques and applications. NLP, at its core, seeks to bridge the gap between human language and machine understanding. From its early days of rule-based systems to the modern machine learning approaches, NLP has come a long way in enhancing communication between humans and machines. Key components of NLP, such as tokenization, stemming, lemmatization, and part-of-speech tagging, are essential in processing and analyzing human language.
Support me here:
https://ramarkablevision.com/pages/patrick-miller