Stop words are words that do not contain essential meanings and are usually removed from texts. They are words filtered out before or after processing natural language data. Stop words are commonly used words in any language, not just English. Examples of stop words include: a, an, and, the, of, or, in, on, at, etc.
To remove Stopwords using python:
Here is how you can remove stop words with NLTK in Python;
In this code we using NLTK library from python to Remove Stop word.
import nltk data = [['ham', 'And how you will do that, princess? :)'], ['spam', 'Urgent! Please call 09061213237 from landline. £5000 cash or a luxury 4* Canary Islands Holiday await collection']] for text in (label_text for label_text in data): filtered_tokens = [token for token in nltk.word_tokenize(text) if token.lower() not in nltk.corpus.stopwords.words('english')] print(filtered_tokens) >>> [',', 'princess', '?', ':', ')'] >>> ['Urgent', '!', 'Please', 'call', '09061213237', 'landline', '.', '£5000', 'cash', 'luxury', '4*', 'Canary', 'Islands', 'Holiday', 'await', 'collection']
I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.
I found this code snippet by searching for "Spam filtering: remove Stopwords" in kandi. You can try any such use case!
I tested this solution in the following versions. Be mindful of changes when working with other versions
Using this solution, we are able to remove the stopwords in Python with simple steps. This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us remove words in Python..
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