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spaCy – Jabir Jamal
Categories
Natural Language Processing

Lemmatization and Stemming using spaCy

Lemmatization A lemma is the base form of a token. The lemma of walking, walks, walked is walk. Lemmatization is the process of reducing the words to their base form or lemmas. The following code shows how to reduce words to their lemmas. Customizing Lemmatization Customization of lemmatization may be required where nicknames of a […]

Categories
Natural Language Processing

Words and Sentences Tokenization using spaCy

In spaCy, every NLP application consists of several steps of processing the text. when we call “nlp ” on our text, spaCy apply some processing steps. The first step is tokenization to produce a Doc object. The Doc object is then processed further with a tagger, a parser and an entity recognizer. This way of processing the text is called a […]

Categories
Natural Language Processing

Getting Started with spaCy

Introduction to NLP NLP is a subfield of AI that analyzes text, speech, and other forms of human-generated language data. NLP makes it possible for computers to extract keywords and phrases, understand the intent of language, translate that to another language, or generate a response. NLP can be used to create search engine algorithms, chatbots, […]