Watch the video to get a complete hands-on with our 👨🏻🏫 NLP Expert, Prof. Nida Parkar
In this Masterclass you'll learn:
- Understanding Natural Language Processing
- Applications of Natural Language Processing and Language Models
- Understanding various preprocessing techniques like Tokenization, Stemming, Lemmatization, and Stop word removal for textual data in NLP
Natural language processing (NLP) refers to the branch of computer science—and more specifically, the branch of artificial intelligence or AI—concerned with giving computers the ability to understand the text and spoken words in much the same way human beings can.
The term text processing refers to the automation of analyzing electronic text. This allows machine learning models to get structured information about the text to use for analysis, manipulation of the text, or to generate new text.
Text processing is one of the most common tasks used in machine learning applications such as language translation, sentiment analysis, spam filtering, and many others.
