Step-by-step programming tutorials where you learn how to implement text classifiers in PHP. In this course you will learn how to: 1- Extract features from text, continuous, and discrete features. 2- Build a feature extractor from text using PHP. 3- Build a Naive Bayes text classifier and apply it to Dialog Act classification. 4- Build a k-NN-based text classifier and apply it to text sentiment analysis. You will also learn: 5- The source code in PHP for the classification systems that are taught in the course. 6- A trained model that could be used immediately for Dialog Act classification (very useful when building BOTs) and sentiment analysis.
What am I going to get from this course?
- Implement a text classifier using a programming language of your choice.
- Access the sourcecode and trained models for a Dialog Act classifier and Sentiment Analysis system (very useful for building BOTs and analyzing user comments)