NLP basics
This guide provides an overview of text classification, exploring essential methods such as Naive Bayes, Logistic Regression, and Hidden Markov Models (HMMs). We’ll also cover critical concepts like n-gram models, embedding methods like TF-IDF and Word2Vec, and evaluation metrics including precision, recall, and F-measure. Whether you’re a beginner seeking to grasp the basics or an experienced practitioner looking to refine your skills, this guide will equip you with the knowledge to effectively tackle text classification tasks. ...