Statistical Classification Methods: (1) Based on KNN (K-Nearest Neighbors): Use similarity to find the k nearest training samples, then score and rank them by score. (2) Based on Naive Bayes Algorithm: Calculate probabilities to build classification models. Guidance: A doctor diagnosing a patient is a typical classification process. No doctor can directly see a patient’s … Read more
Case Background Sentiment analysis is an application area of natural language processing (NLP) that aims to understand and analyze the emotions expressed by people in text. This is very useful in areas such as product reviews, social media monitoring, and brand reputation management. Algorithm Principle: Naive Bayes Classifier The Naive Bayes classifier is a simple … Read more
1. Introduction: Inferring from Clues Hello everyone! Imagine you are a detective investigating a case. You would infer who the suspect is based on various “clues” left at the scene (such as fingerprints, footprints, eyewitness descriptions, etc.). The Naive Bayes algorithm acts like a “probability detective”; it predicts the likelihood of an event occurring based … Read more