Natural Language Processing With Python’s NLTK Package Autocorrect can even change words based on typos so that the overall sentence’s meaning makes sense. These functionalities have the ability to learn and change based on your behavior. For example, over time predictive text will learn your personal jargon and customize itself. Features like autocorrect, autocomplete, and...Read More
6 Real-World Examples of Natural Language Processing Every token of a spacy model, has an attribute token.label_ which stores the category/ label of each entity. Now, what if you have huge data, it will be impossible to print and check for names. Let us start with a simple example to understand how to implement NER...Read More
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