<p>Christopher D. Manning, Prabhakar Raghavan &amp; Hinrich Schütze have a <a href="http://nlp.stanford.edu/IR-book/html/htmledition/irbook.html" rel="nofollow noreferrer">free information retrieval book</a>. Try <a href="http://nlp.stanford.edu/IR-book/html/htmledition/text-classification-and-naive-bayes-1.html" rel="nofollow noreferrer">chapter 13 - Text classification &amp; Naive Bayes</a>. </p>

<p>See also the companion site for Manning and Schütze's <a href="https://rads.stackoverflow.com/amzn/click/com/0262133601" rel="nofollow noreferrer" rel="nofollow noreferrer">nlp book</a>, specifically <a href="http://www-nlp.stanford.edu/fsnlp/class/" rel="nofollow noreferrer">links for the text categorization chapter</a>.</p>

<p>Fabrizio Sebastiani wrote <a href="http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.38.7770&amp;rep=rep1&amp;type=pdf" rel="nofollow noreferrer">a useful tutorial about text categorization(PDF)</a> and <a href="http://arxiv.org/pdf/cs/0110053" rel="nofollow noreferrer">review paper of machine learning for text categorization (PDF)</a>.</p>
Book and article references sought for starting out with document classification
<p>I am interested in doing a project on document classification and have been looking for books that could be useful for the theoretical parts in text mining related to this or examples of articles describing the process of going from training data with documents classified (with subcategories) to a system which predicts the class of a document. There seem to be some (rather expensive!) titles available but these are conference proceedings with articles on smaller very specific topics. Can someone suggest books from the data mining literature that provides a good theoretical basis for a project on text mining, specifically document classification or articles with an overview of this process ?</p>