NLP

What is Morphological Analysis? Studying the internal structure of words is known as morphological analysis. It describes the methods and systems used in Natural Language...

A key idea in supervised machine learning, linear classification is frequently used for applications involving natural language processing, such text categorization. What is Linear Classification? A...

In this article, we will explore the lemmatization advantages and disadvantages, lemmatization vs tokenization, and highlight when and why you should use each method...

Basic Linguistic Concepts Natural Language Processing (NLP), which conventionally processes language through a number of phases that mimic linguistic differences, depends on an understanding of...

What are Linear classification models? One kind of classifier utilized in machine learning, especially for Natural Language Processing (NLP) applications, is the linear classification models....

This blog discusses lemmatization, including its definition, how it works, applications and purpose, methods, NLP lemmatization vs stemming, and forms of lemmatization, which are...

This article explains about the Meaning And Context In NLP. Since meaning and context are intricately linked to the fundamental components of language, comprehending language...

Syntactic Analysis In Natural Language Processing Syntactic analysis identifies the fundamental structure of sentences, providing structured input for further analysis. A structured object, such...

Trigram Model Three consecutive words make up a trigram, sometimes referred to as a 3-gram. A 3-gram is an n-gram. Trigrams provide context by capturing...

Syntactic analysis: what is it? The distinction between lexical analysis (tokens) and syntactic analysis (sentence structure) in natural language processing is explained in detail...