The follwoing code -which is based on your code- my help you, I have changed the names of some vaiables of your original code to be more meaningfull, in addition to some modifications: import os import pathlib # preparing the StopWordList to be used with each file stop_words = open(...
For instance, the words ‘play’, ‘playing’, or ‘plays’ convey the same meaning (although, again, not exactly, but for analysis with a computer, that sort of detail is still not a viable option). So instead of having them as different words, we can put them together under the ...
(like the, a, and, in , etc.) in a language that carry little or no meaning and can hinder the performance of many natural language processing (nlp) tasks. removing stopwords from the text data can significantly improve the accuracy of these tasks and reduce the computational resources ...
Python packageA preliminary preprocessing step in text analytics is the removal of words with no semantic meaning, otherwise known as stopwords. English stopwords are very easily accessible and created due to the broad usability of the English language. However, a standard list of Hindi stopwords ...
is totally different once the stopword not is removed changing the meaning of the sentence to its opposite (I am sure what the problem is). If that is the case, is there a set of rules that I am missing on when not to use these stopwords? NLP Collective language-agnostic machine-lea...