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Text summarization is the process of creating a short, accurate, and fluent summary of a longer text document. It is the process of distilling the most important information from a source text. Automatic text summarization is a common problem in machine learning and natural language processing (NLP). Automatic text summarization methods are greatly needed to address the ever-growing amount of text data available online to both better help discover relevant information and to consume relevant information faster.

πŸ”Š Watch till last for a detailed description
01:21 What is text summarization?
05:19 Installing the packages
15:10 Sentence tokenization

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Comments

Sourav Pandey says:

getting key error while generating the summary

557 013 Salka Rahman says:

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

Gvcs Royal says:

nlp project how to find last updated text

Palani Ramu says:

Thanks for explanation, its too good

Tooba Saman says:

Can you please tell me which software are you using?

AKshay Verma says:

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

Srijita Saha Roy says:

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

mehmet şener says:

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

Muhammad Ali says:

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

Muhammad Ali says:

hey can you please me, i am using python 3.9 and ide is pycharm, i could not install spacy and pip command is not working in pycharm. please help me out. criminal202@gmail.com

Usama Ali says:

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

deepak more says:

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.

anuraggupta32 says:

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

Arj R says:

Great Video!!

ayush singh says:

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

Tackle With Tricks says:

Where is the link of blog

irfan fadhullah says:

if your text from wikipedia has Capital alphabets, you must use word_frequencies[word.text.lower()] in creating word_frequencies

Edwin Ho says:

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.

Harsha Vardhan says:

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

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