What is Linear Discriminant Analysis (LDA)? Linear Discriminant Analysis (LDA) is a powerful technique in machine learning and statistics. It…
What is Feature Extraction in Machine Learning? Feature extraction is a fundamental concept in data analysis and machine learning, serving…
What is Intent Classification In NLP? Intent classification is a fundamental concept in natural language processing (NLP) and plays a…
Inverted index in information retrieval In the world of information retrieval and search technologies, inverted indexing is a fundamental concept…
Natural language processing (NLP) for Arabic text involves tokenization, stemming, lemmatization, part-of-speech tagging, and named entity recognition, among others. These…
The Basics of Syntactic Analysis Before understanding syntactic analysis in NLP, we must first understand Syntax. What is Syntax? Syntax…
What Are Autoregressive (AR) Models? Autoregressive (AR) models are statistical and time series models used to analyze and forecast data…
Basics of Document Classification Document classification, or document categorization, is a fundamental natural language processing (NLP) task that categorizes text…
What Is Dependency Parsing in NLP? Dependency parsing is a fundamental technique in Natural Language Processing (NLP) that plays a…
What is Retrieval-Augmented Generation (RAG)? Retrieval-augmented generation (RAG) is a natural language processing (NLP) technique that combines information retrieval capabilities…