Natural Language Processing NLP Examples

We can use Wordnet to find meanings of words, synonyms, antonyms, and many other words. Stemming normalizes the word by truncating the word to its stem word. For example, the words “studies,” “studied,” natural language processing algorithms “studying” will be reduced to “studi,” making all these word forms to refer to only one token. Notice that stemming may not give us a dictionary, grammatical word for a particular set of words. Then you’ve used NLP methods for search, topic modeling, entity extraction and content categorization. Notice that the term frequency values are the same for all of the sentences since

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