EP:23 How Machine Learning Chats so naturally with Human Beings ?

Episode 23 of the Tech Stories podcast, hosted by Amit Bhatt, titled "EP:23 How Machine Learning Chats so naturally with Human Beings ?" was published on January 9, 2022 and runs 6 minutes.

January 9, 2022 ·6m · Tech Stories

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Summary

In this episode I covered the fundamental of Natural language processing  What is natural language processing? Natural language processing (NLP) is the ability of a computer program to understand human language as it is spoken and written -- referred to as natural language. It is a component of artificial intelligence NLP consist of two things  Data Pre Processing Algorithm Development Data PreProcessing:Data preprocessing involves preparing and "cleaning" text data for machines to be able to analyze it Tokenization. This is when text is broken down into smaller units to work with. Stop word removal. This is when common words are removed from text so unique words that offer the most information about the text remain. Lemmatization and stemming. This is when words are reduced to their root forms to process. Part-of-speech tagging. This is when words are marked based on the part-of speech they are -- such as nouns, verbs and adjectives. Listen the episode on all podcast platform and share your feedback as comments here Do check the episode on various platform follow me on instagram  https://www.instagram.com/podcasteramit Apple https://podcasts.apple.com/us/podcast/id1544510362 Huhopper Platform https://hubhopper.com/podcast/tech-stories/318515 Amazon https://music.amazon.com/podcasts/2fdb5c45-2016-459e-ba6a-3cbae5a1fa4d Spotify https://open.spotify.com/show/2GhCrAjQuVMFYBq8GbLbwa

Episode Description

In this episode I covered the fundamental of Natural language processing

What is natural language processing?

Natural language processing (NLP) is the ability of a computer program to understand human language as it is spoken and written -- referred to as natural language. It is a component of artificial intelligence

NLP consist of two things

Data Pre Processing
Algorithm Development

Data PreProcessing:Data preprocessing involves preparing and "cleaning" text data for machines to be able to analyze it

Tokenization. This is when text is broken down into smaller units to work with.
Stop word removal. This is when common words are removed from text so unique words that offer the most information about the text remain.
Lemmatization and stemming. This is when words are reduced to their root forms to process.
Part-of-speech tagging. This is when words are marked based on the part-of speech they are -- such as nouns, verbs and adjectives.

Listen the episode on all podcast platform and share your feedback as comments here

Do check the episode on various platform