How to implement Snowball Stemmer in Python?
The algorithm used here is more accurately called the "English Stemmer" or "Porter2 Stemmer". It offers a slight improvement over the original Porter…
1 Answer · 2.3K Views · Answered ✓
Browse 117 Natural Language Processing questions and answers from learners and industry experts. Find practical fixes, interview prep and step-by-step solutions - or ask your own.
The algorithm used here is more accurately called the "English Stemmer" or "Porter2 Stemmer". It offers a slight improvement over the original Porter…
1 Answer · 2.3K Views · Answered ✓
To add stop-words into default list of stop words provided by Spacy in Python, we use the following code.In the above snippet, the word ‘btw’ is…
1 Answer · 2.4K Views · Answered ✓
For extracting specific entities we can import Spacy and pass doc.ents to the functionBut this will print all the tags present in the text. Here,…
1 Answer · 1.5K Views · Answered ✓
There are various libraries to implement POS tagging in Python but we will be using SpaCy which is fast and easy compared to other libraries.Here,…
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Stemming is a relatively faster algorithm compared to lemmatization because of its easy ‘word chopping’ algorithm unlike lemmatization takes time to…
1 Answer · 1.7K Views · Answered ✓
Named Entity Recognition can be used in many fields and are helpful in a wide variety of cases.
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We need to import POS tagger from nltk and define a function to return the base word using WordNet Lemmatizer.
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Many evaluation metrics have been developed to obtain better accuracy and increase the overall performance of any approach of NER. Some of them which…
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To customize colors and effects, we need to be aware of various color codes which we wish to display. Some of the most known color codes are used for…
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