What is text labelling? Text labelling, or text annotation or tagging, assigns labels or categories to text data to make…
What is a Vector Space Model? The Vector Space Model (VSM) is a mathematical framework used in information retrieval and…
What is K-nearest neighbours? K-Nearest Neighbours (KNN) is a simple and widely used classification and regression algorithm in machine learning.…
What is AdaBoost? AdaBoost, short for Adaptive Boosting, is a machine learning algorithm that belongs to the ensemble learning techniques.…
What is gradient boosting? Gradient Boosting is a powerful machine learning technique for classification and regression tasks. It's an ensemble…
What is multi-class classification in machine learning? Multi-class classification is a machine learning task that aims to assign input data…
Classification vs regression are two of the most common types of machine learning problems. Classification involves predicting a categorical outcome,…
Text classification is a fundamental problem in natural language processing (NLP) that involves categorising text data into predefined classes or…
Word2Vec for text classification Word2Vec is a popular algorithm used for natural language processing and text classification. It is a…
Opinion mining is a field that is growing quickly. It uses natural language processing and text analysis to gather subjective…