Natural Language Processing Tutorial Part 6 | NLP Training Videos | Text Analysis

Natural Language Processing Tutorial Part 6 | NLP Training Videos | Text Analysis
Hello and Welcome back to Data Science tutorials powered by Acadgild. In the previous videos, we came across the introduction part of the natural language processing (NLP) which includes the hands-on part with tokenization, stemming, lemmatization, and stop keywords, how to apply stop_keywords and stemming, and how to apply stop keywords, lemmatization, document matrix, implement bag of words, Bag of words – Problems, and the solution for the same.
If You have missed the previous video, kindly click the following link for the better understanding and continuation for the series.
In this tutorial, we will see the intuition behind IDF which is, nothing but inverse document frequency.
Inverse Document Frequency:
• Formula:
IDF= log [(number of sentences)/(number of sentences containing words)]
Let’s also see through the coding mechanism using python and again using an Escalon library which is nothing but TF-IDF vectorizer
Kindly go through the hands-on part to learn more about the applications.
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[ijeffking]

Your videos are a blessing. Please make more such quality videos. Thank you very much.

[kfaheem]

Where are the rest of videos, where I can learn how to feed these features of text to a Machine Learning model?

[gracekiritisundur]

kindly upload next series of videos, please

[sachinborgave]

Hello sir,
When you are releasing further parts. Thank you...

[asmitachatterjee]

when is the video 7 coming up? thats the most crucial info sharing video

[asmitachatterjee]

also, is there any github link for this code snippet on nlp?

[tayefshahriar]

need upcoming videos as early as possible. When will we get those