NLP Tutorial 12 - Text Summarization using NLP

[@jbarrera]

Great tutorial, Congratulations and thanks!

[@sakhawathossain4603]

Thank You for share this live coding to get some idea

[@KGPTalkie]

Your welcome 😊

[@Dr.G.Parthasarathy]

Excellent

[@ijeffking]

Simple and useful tips. Thank you .

[@KGPTalkie]

Thanks.

[@edwinho7562]

Hi thank you for the video but I can't seem to find the working code in the video description. Could you please provide the link? Thank you.

[@rogeriovaz5779]

Fantastic. Congratulations and thanks!

[@tacklewithtricksbykajala.4231]

Where is the link of blog

[@srijitasaharoy2228]

Instead of text, how can I summarize the contents of pdf file? say 100 page pdf

[@jeremyheng8573]

very good explaination

[@PalaniRamu1]

Thanks for explanation, its too good

[@KGPTalkie]

Thank you

[@lucammt]

Hi, i wanted to ask something. I need to use this function in a chrome extension. How can i add this to that project whit javascript? Thanks a lot!

[@solidname9085]

how to build text summerization like chatgpt

[@prajwal_3722]

Did you compare both by sentiment analyser for the score ?

[@hemantbhatta1821]

Thank you sir.Most awesome videos.Make videos.Keep going.

[@KGPTalkie]

Thanks

[@BiranchiNarayanNayak]

Excellent tutorial.

[@KGPTalkie]

Thanks

[@mdwaquarazam2026]

Great job 👍

[@jatinsuthar7686]

i think it is not working correcly. if there are similar multiple sentances in the text then all the similar sentances are occuring in the summary text

[@meghanamengani5254]

May I know the algorithm used here

[@RuchiSharma-hv2xk]

link for blog is not working

[@DipakTripathi]

Could you please make a video on Abstractive Text Summarization

[@KGPTalkie]

Yeah sure. I will try

[@shivnarayanswarnkar2912]

amazin sir thanks i have subscribed your channel

[@Nedwin]

Amazing sharing. Thanks, man! 👍

[@toobasaman6857]

Can you please tell me which software are you using?

[@ozer144]

i think it is not useful text summarization method. You should inspect "summary sentence" in paragraphs or text. This improve your accuracy.

[@breathemusic5260]

What is the name of this method used?

[@ayush.pratap.singh.]

Hey, Really great example. is it possible to get the score of the summary of the model that is used here?

[@kadhiresannarayanaswamy7348]

use tools like ROUGE

[@breathemusic5260]

is it called term frequency method?

[@souravpandey8421]

getting key error while generating the summary

[@arjr678]

Great Video!!

[@harshavardhan4523]

If we give the input as conversation between two people ..... will this code work??

[@noura4701]

Great tutorial! I have a question. why do we need to normalize the frequencies by dividing by the largest frequency? how is this useful and would it make a difference if we did not normalize the frequencies? 14:10 thank you

[@maxisqt]

I've got an MSc in Machine Learning, we normalise our features when we have a dataset with features of varying scale (magnitude). This is to maintain the underlying distribution of data (not disturbing the ranges encompassed by each feature) whilst placing all features on the same scale from 0 to 1. This is only necessary for datasets with features of varying scales. It's been observed to improve the performance / accuracy of models, there are probably a lot of reasons why but the one that logically makes sense to me is if you have two features, one is on a scale of 0 to 1, and the other is on a scale of 0 to 1000, the variation in the second feature accounts for the majority of the variation in the dataset and an ML model might overvalue feature two and undervalue feature 1, as we humans would do, but this is not how data works in reality. I haven't watched the video yet so I'm not sure if my explanation is relevant, and I'm happy for others to correct me if I'm wrong.

[@karthikgangula369]

I also had the same doubt as to why he used largest frequency instead or total count of all the frequencies. So I did the summary using both the techniques and what I found was that the summary was exactly the same. However, Im not sure why that's the case.

[@noura4701]

@@maxisqt really helpful! Thank you so much

[@MuhammadAli-ie7ps]

and which software you are using here in video, can you please tell me.

[@KGPTalkie]

it’s jupyter notebook

[@riyapal9731]

Is this extractive summarization or abstractive summarization???

[@Investerbro]

nlp project how to find last updated text

[@Steve-vl9vr]

how to save this model using pickle. please make a video

[@hakunamatata-qu7ft]

Bro I need time series forecasting prediction and complete about time series,so please make videos on time series

[@SalkaRahman]

if possible.could you please make a video on handwritten text recognition using nlp.

[@anuraggupta32]

This summarization is based on frequency and scoring. Is there a summarization based on quality of content which has more meaning

[@cristopherabalorio8562]

the video is extractive summarization. I think you are referring to abstractive which uses RNN

[@breathemusic5260]

can you please provide this PPT in discription Box? plzz

[@deepak161091]

Hi Sir, Here you are using already built model from spacy. Could you please upload a video on how to create a model using ML.

[@shwetatiwari5355]

Yes, please

[@soumyabrata111]

Lovely

[@tohelpothers9767]

sir give code link

[@cool_videos6016]

i am not able to install en_core_web_sm can anyone help

[@KGPTalkie]

What's error?

[@anujsaboo7081]

This solution will not give correct results since you are not maintaining order. If a sentence later on scores more it will come first in summary giving a result with broken meaning

[@KGPTalkie]

Thanks Anuj for your suggestion. You are right. One way to keep this in order is you can keep the indices of selected sentences and then select these sentences from the original text in the same order.

[@usamaali7833]

How is this a summary when you get exactly the first paragraph and ignore everything else?

[@rishabhkapoor5536]

12 th entire cell can be replaced with --> from collections import Counter word_frequencies=Counter(word.text)

[@teddyx2364]

rishabh kapoor doesn’t work for me. It only counts single letters and signs. In this case need to first separate each word from the paragraph string

[@hakunamatata-qu7ft]

thank you bhai, can you also make topic modelling from scratch

[@KGPTalkie]

Thanks for watching. I will try for sure.

[@deepak161091]

indeed

[@bharatchandra2512]

when i opened github.com/laxmimerit/NLP-Tutorial-12---Text-Summarization-using-NLP it's telling that the page is not found so pleaselook into this brother

[@KGPTalkie]

Hi, This is in regard to the code file which you requested for different topics.I request you to please get enrolled yourself and show your support and love to KGP Talkie. All the code files and video lectures have lifetime access with 30 Days money back Guarantee. Code and question-answer support are also available at Udemy. Code files of KZbin lectures will be also available once you register in this course. Please send an email to [e-mail] with your registration details of this course and a list of other code files that you want. I promise you to give FREE COUPONS for the next course on Deep Learning and ML. You can click on the link mentioned below and can get yourself enrolled!! bit.ly/udemy95off_kgptalkie New content is added at Udemy: 1. Animation Plot [2 lectures] 2. Python Coding in Mobile [5 lectures] 3. Complete EDA of Boston Dataset [20 lectures] What else we promise in this course 1. Kaggle data EDA 2. Text data EDA 3. More Animation Plot 4. More 3D plots 5. Figure Aesthetics and Decoration 6. Free coupons for next course 7. And so much more. Hurry up!!! Only for a limited time. Please email your details at [e-mail] for the FREE COUPONS of the next course.

[@karanarora8528]

amazing video brother , so can we summarize any video or article here ?

[@KGPTalkie]

Thanks for watching. Yes we can summarize any document.

[@teetanrobotics5363]

Could you please create a GitHub repository for all codes ?

[@KGPTalkie]

Thanks for watching. Git codes are given in video description of each video.

[@lifehope4201]

@@KGPTalkie link not opening

[@thunderguy2766]

Make a video on fake news detection.

[@KGPTalkie]

Thanks for watching. I will try.

[@sonalgarg5628]

hey i m also working on fake news detection