In this article, you will learn about the lemmatization and stop-words which are a part of a text preprocessing. Lemmatization is the process of reducing words to their base or dictionary form, known as the lemma. Implementation of Lemmatization import nltkfrom nltk.stem import WordNetLemmatizer The WordNetLemmatizer is part of the Natural Language Toolkit (NLTK) library and […]

This article focuses on understanding and applying different stemming techniques used in Natural Language Processing (NLP) to reduce words to their root forms. Stemming is an essential preprocessing step that simplifies text data, helping in tasks like text analysis, classification, and search optimization. Stemming is the process of reducing a word to its linguistic root. […]

In this article, you will explore various tokenization methods provided by the Natural Language Toolkit (NLTK) to process and analyse textual data. Tokenization is a crucial preprocessing step in Natural Language Processing (NLP), where text is broken down into smaller units, such as sentences or words. Tasks 1. Open a notebook a jupyter. 2. Start […]