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Old 03-23-2018, 09:19 AM   #198
szarroug3
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szarroug3 knows the difference between 'who' and 'whom'szarroug3 knows the difference between 'who' and 'whom'szarroug3 knows the difference between 'who' and 'whom'szarroug3 knows the difference between 'who' and 'whom'szarroug3 knows the difference between 'who' and 'whom'szarroug3 knows the difference between 'who' and 'whom'szarroug3 knows the difference between 'who' and 'whom'szarroug3 knows the difference between 'who' and 'whom'szarroug3 knows the difference between 'who' and 'whom'szarroug3 knows the difference between 'who' and 'whom'szarroug3 knows the difference between 'who' and 'whom'
 
Posts: 104
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Join Date: Apr 2016
Device: Kindle PW2
Quote:
Originally Posted by dxcore35 View Post
I see no way depending on goodreads's information. Is somebody skilful to implement this idea?




1. (TODO) Find unique keywords, find Names, Places, etc...
2. (TODO) Extract definitions form text

3. (PARTLY) Add them to X-ray
4. (DONE) Extract quotes from goodread.com
* this one is extra

I know it is not small project but when it is done once it can be used forever
Since the texts are analyzed locally - directly from text not the API or web information.

Here are some python resources:
Good idea. Sadly, I just don't have the time or brains to do this.
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