Real-time web text classification and analysis of reading difficulty

The automatic analysis and categorization of web text has witnessed a booming interest due to the increased text availability of different formats, content, genre and authorship. We present a new tool that searches the web and performs in real-time a) html-free text extraction, b) classification for thematic content and c) evaluation of expected reading difficulty. This tool will be useful to adolescent and adult low-level reading students who face, among other challenges, a troubling lack of reading material for their age, interests and reading level.