SVM to classify text sentences

Hi, newbie machine learner here. I am trying to classify news articles based on their headlines, mainly into two classes : "crime" and "non crime". I have used [Natural](https://github.com/naturalnode/natural)'s NaiveBayes Classifier, but I want to improve upon the accuracy. Will SVM improve the prediction, and if so please guide me how to implement it using your library!
Btw, i love reading your blog and got to learn a lot from there :) Please do complete the book, eagerly waiting for the remaining chapters!

The issue does not name a file, test, or entry point in convnetjs. First determine whether the library has an SVM or text-classification entry point, then compare that capability with the stated NaiveBayes use case; done would mean a decided implementation path or documented guidance for classifying headlines.

Written by the indexing model from the issue text.