Stemming - Nomidl

Day 4: Stemming and Lemmatization

Stemming and lemmatization are two popular techniques for text pre-processing in natural language processing (NLP) tasks. In this article, we will discuss what stemming and lemmatization are and provide examples to illustrate their application. Stemming is the process of reducing a word to its root or stem form. For example, the stem of the word…

Step-by-Step Process of Implementing Stemming and Lemmatization in Python?

Install the Natural Language Toolkit (NLTK) library. This library provides a range of tools for natural language processing, including stemming and lemmatization algorithms. You can install it using pip install nltk. Import the necessary functions from the NLTK library. For example, to use the Porter stemmer, you would use the following import statement: from nltk.stem.porter…

Difference between Stemming & Lemmatization?

It is a common misconception that stemming and lemmatization are the same. There are a lot of differences between them which can be explained as follows: Lemmatization is the process of determining the root word from a word with multiple meanings. The lemmatization process would then extract its associated meaning from the dictionary, which is…