Text Classification using Naive Bayes Algorithm Solved Example
Text Classification using Naive Bayes Algorithm Solved Example
Text classification is a fundamental task in natural language processing (NLP) that involves categorizing text into predefined classes or labels. It is widely used in applications such as spam detection, sentiment analysis, topic labeling, and more. Below is a detailed explanation of text classification, including its key concepts, techniques, and steps.
Text classification is the process of assigning a category or label to a given text based on its content. The goal is to automatically analyze and organize text data into meaningful groups.
Examples:
BAG of words #BOW
Spam Detection: Classify emails as "spam" or "not spam."
Sentiment Analysis: Determine if a review is "positive," "negative," or "neutral."
Topic Classification: Assign news articles to categories like "sports," "politics," or "technology."
https://eevibes.com/blog/text-classif...
