Introduction In the Natural Language Toolkit (NLTK), a popular Python library for working with human language data, there are several built-in functions for calculating various types of distances between strings or sequences. These distance metrics are useful in tasks like spell checking, text comparison, and more.
Edit Distance, also known as Levenshtein Distance, is a metric used to measure the difference between two sequences (typically strings). It represents the minimum number of single-character operations (insertions, deletions, or substitutions) required to transform one string into another.
Natural Language Processing (NLP) is a fascinating field that bridges the gap between human language and computer understanding. In this blog post, we’ll explore key language processing concepts in NLP, along with Python code snippets for each concept.
Introduction Natural Language Processing (NLP) is a subfield of artificial intelligence (AI) focused on the interaction between computers and human languages. It involves the development of algorithms and models that enable machines to understand, interpret, and generate human language in a way that is both meaningful and useful.