Recipe Objective

In a text or sentence, there are some words that do not contribute importance in the sentence or text, and we need to remove them. So there is a package called stopwords which is already present in the NLTK library that consists of the most commonly used words that should be removed from the text. But if we want to add our own custom list of words that we want to stop in our text or sentence, lets see how to make it.

Stopwords these are the words which does not add much meaning in the actual sentence or text, and they can be safely removed from the sentence or text. The words like the, is, have, has and many more can be removed.

Step 1 - Import nltk and download stopwords, and then import stopwords from NLTK

Step 2 - lets see the stop word list present in the NLTK library, without adding our custom list

['i', 'me', 'my', 'myself', 'we', 'our', 'ours', 'ourselves', 'you', "you're", "you've", "you'll", "you'd", 'your', 'yours', 'yourself', 'yourselves', 'he', 'him', 'his', 'himself', 'she', "she's", 'her', 'hers', 'herself', 'it', "it's", 'its', 'itself', 'they', 'them', 'their', 'theirs', 'themselves', 'what', 'which', 'who', 'whom', 'this', 'that', "that'll", 'these', 'those', 'am', 'is', 'are', 'was', 'were', 'be', 'been', 'being', 'have', 'has', 'had', 'having', 'do', 'does', 'did', 'doing', 'a', 'an', 'the', 'and', 'but', 'if', 'or', 'because', 'as', 'until', 'while', 'of', 'at', 'by', 'for', 'with', 'about', 'against', 'between', 'into', 'through', 'during', 'before', 'after', 'above', 'below', 'to', 'from', 'up', 'down', 'in', 'out', 'on', 'off', 'over', 'under', 'again', 'further', 'then', 'once', 'here', 'there', 'when', 'where', 'why', 'how', 'all', 'any', 'both', 'each', 'few', 'more', 'most', 'other', 'some', 'such', 'no', 'nor', 'not', 'only', 'own', 'same', 'so', 'than', 'too', 'very', 's', 't', 'can', 'will', 'just', 'don', "don't", 'should', "should've", 'now', 'd', 'll', 'm', 'o', 're', 've', 'y', 'ain', 'aren', "aren't", 'couldn', "couldn't", 'didn', "didn't", 'doesn', "doesn't", 'hadn', "hadn't", 'hasn', "hasn't", 'haven', "haven't", 'isn', "isn't", 'ma', 'mightn', "mightn't", 'mustn', "mustn't", 'needn', "needn't", 'shan', "shan't", 'shouldn', "shouldn't", 'wasn', "wasn't", 'weren', "weren't", 'won', "won't", 'wouldn', "wouldn't"]

Step 3 - Create a Simple sentence

Step 4 - Create our custom stopword list to add

Step 5 - add custom list to stopword list of nltk

Step 6 - download and import the tokenizer from nltk

Step 7 - tokenizing the simple text by using word tokenizer

Step 8 - Remove the custom stop words and print it

['city', 'beautiful', ',', 'traffic', 'noice', 'polution', 'increasing', 'basis', 'hurting', 'people']

As we can see all custom words that we have added have been removed from our text.