iLexIR

The RASP system includes state-of-the-art modules for finding sentence boundaries, finding individual words, analyzing words to identify the word root and any suffixes, assigning part-of-speech labels to words in running text, and analyzing the grammatical relations between words and larger units within sentences. You can try it out for yourself by downloading the open-source version, or see some examples of RASP output.

Text analyzed with RASP provides the basis for text classification on the basis of topic, sentiment, genre, reference to specific entities, the stength of specific assertions or many other facets, when combined with other open source machine learning classifiers either using supervised or semi-supervised learning techniques. The resulting annotated text collections can be indexed using open source search engines at the document, sentence or word level to provide flexible, intuitive, interactive access to text snippets and passages or to automatically create structured databases from text.