May 15, 2025 · Machine learning is regarded as one of the most crucial methods used for email classification and spam detection. This paper reviews some of the literature on the utilization of …

Jun 12, 2025 · Transformer models solve this problem by automatically classifying emails with 95%+ accuracy. This guide shows you how to build transformer-based email classifiers using BERT and …

Aug 15, 2025 · It's designed to automatically categorize emails into one of four classes: Spam, Promotions, Updates, or Personal. The classifier uses TF-IDF for text vectorization and a Naive Bayes …

Aug 26, 2022 · This project report aims to use machine learning techniques specifically deep learning classifiers to differentiate between spam and ham emails.

Using artificial intelligence and machine learning, this project aims to develop an accurate email categorization system that can discriminate between emails categorized as spam and those that are …

To build the email classifier, we need to have a set of labeled emails that we can use to train a machine learning model. The model can then be used to classify new incoming emails based on the content. …

Jan 26, 2025 · In this study, a machine learning and Natural Language processing-based supervised learning approach was used and plays an effective role in improving email classification. The dataset …

Feb 23, 2024 · At the heart of AI email classification lies the power of artificial intelligence and machine learning algorithms that analyze, understand, and classify emails based on their content and...

May 9, 2022 · Machine learning classifiers play an important role to classify a large amount of data. In this article, we use different types of machine learning classifiers to predict class labels using the …

Two of the important algorithms namely, Naïve Bayes and J48 Decision Tree are tested for their efficiency in classifying emails as spam or ham. The experiment focused on classification in …