Text Mining with R - Part 1 | Importing PDF and Text Detection

[@videorprologic]

You do a fantastic job keeping this simple, focused and clear. Your presenting skills are impressive

[@田耕銘]

Thank you soooooooo much! It works perfectly! Even having around 8k files, R finished the process in less than 20 minutes. I can finally understand after watching your part 2 (The video for AI.) Thanks again!

[@liancheefoong4309]

It's awesome to know that R could do this!

[@TillThielmann]

Hey, thanks for this good instruction. I tried your code but it will only search for my first word? How can I analyze more than one word at the time?

[@agustincsn]

Thank you very much for this tutorial, really helpful. I am looking forward to Part 2. Thanks

[@LiquidBrain]

You can find part 2 on the channel as " Text mining with R -Part 2"

[@busyshah]

Such a cool stuff.
I am in HR recruitment and visualizing a use case for screening various CVs for given key words (in job description).
Let me see how it turns out to be (high hopes).
Thank you for this.

[@nida.shamim]

This is really helpful, however, when I execute the code, it gives me numbers from 1-60 and not the actual word count for the keywords. What to do if I want the word count for keywords from PDFs in a table?

[@MrKevinsux]

My word count is coming up as a some across all papers. Is there a way to modify the code so that I can just see how many times a keyword appears in each of the papers individually?

[@nida.shamim]

Hello, did you get the answer for your query from somewhere? Actually, I am looking for the same thing.

[@vilmantaspedisius5783]

What's an alternative for txt files rather than pdf ones?

[@AdOrient]

Would you be able to make a video on how create a similar model to extract information from a large number of PDF files, and export in an excel spreadsheet?

[@LiquidBrain]

Oh I have done something similiar on part 2 oninary classification on journals. However, if you already had an rough idea on the contents on the papers, you can simply setup a matrix and use certain clustering algorithm to seprate them instead of a neural network.
th-cam.com/video/GihOdZUkH1Y/w-d-xo.html

[@uzmaashraf5456]

Hi, I am facing the following error while loading many pdf files in R.PDF
error: Invalid shared object hint table offset
PDF error (5393291): insufficient arguments for Marked Content
PDF error (5393300): insufficient arguments for Marked Content
PDF error: Invalid shared object hint table offset
PDF error: Invalid Font Weight
Please can you help me.

[@ehecatl3830]

Very good thanks

[@jakoborellieandreasen674]

Is there a part two to this?

[@LiquidBrain]

Ya, it's call text mining part 2 on the channel

[@abogadorobot6094]

Thank you!

[@kevinstevenmojicamunoz9629]

The Github script is not available :(
Could you please upload it?

[@LiquidBrain]

hmm, that's funny, I have updated the link. if not see if you can access it here (github.com/brandonyph/Text-Mining-With-R)