I have python script that pulls out a keyword from the data set. The data set contains 3 columns,
1. SysID 2. ID 3. Comment Section.
This script just pulls out keyword for certain extent from Comment section and display only keyword, not any other columns.
Can someone help out to alter this script so that script trim comment column sparing with precise key words from each row of columns, without truncating the other columns.
Sample Dataset
Current Output from the script is below
Expected Result should be
Thanking you in advance, hope someone will address.
I foresee problems with the approach of excluding common words. "Damaged" is an important word, but also common in your data. "Not" is also common and kind of vital. And when your data changes, so will whatever words you exclude.
And how important many words are, depends on context. Data is not lost from deleting "left" from "door left open", but it is lost from "left door open".
You can build lists of exclusions and special words until the cows come home, and then one funny case will come along which blows it all out of the water. Add one more special case for that word and special case special cases for any odd but valid ways that word might be used. Rinse and repeat until you lose your mind or your code gains sentience.
I'm not sure true English language processing can be implemented in a tinkertoy.
Deleting common words like "the" and "is", that's certainly doable.
Last edited by Corona688; 11-16-2018 at 01:19 PM..
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