Humans are remarkably adept at classifying text documents into cate-gories. For instance, while reading a news story, we are rapidly able to assess whether it belongs to the domain of finance, politics or sports. Automating ...

We compare Naive Bayes and Support Vector Machines on the task of multiclass text classification. Using a variety of approaches to combine the underlying binary classifiers, we find that SVMs substantially outperform Naive ...

Text analysis is a branch of data mining that deals with text documents. This project brings to light the classification of texts into their various categories. The structured and unstructured data seems to on a high rise ...