Maytag: A Multi-staged Approach to Identifying Complex Events in Textual Data

By Conrad Chang , Sean Munson , Lisa Ferro , John Gibson , Janet Hitzeman , Susan Lubar , Justin Palmer , Marc Vilain , Justin Palmer , Sean Munson , Marc Vilain

We present a novel application of NLP and text mining to the analysis of financial documents.

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We present a novel application of NLP and text mining to the analysis of financial documents. In particular, we describe an implemented prototype, Maytag, which combines information extraction and subject classification tools in an interactive exploratory framework. We present experimental results on their performance, as tailored to the financial domain, and some forward-looking extensions to the approach that enables users to specify classifications on the fly.