Date

3-2013

Degree Name

BS in Computer Science

Department

Computer Science Department

Advisor(s)

Foaad Khosmood

Abstract

Natural Language Processing has recently increased in popularity. The field of authorship analysis, specifically, uses various characteristics of text quantified by markers. NLPStats serves as a tool designed to streamline marker extraction based on user needs. A flexible query system allows for custom marker requests, adjustment of result formatting, and preprocessing options. Furthermore, an efficiently designed structure ensures that users retrieve information quickly. As a whole, NLPStats enables anyone, regardless of NLP experience, to extract important information about the text of a document.

mmease_SP.tar.gz (278 kB)
Source code for core and sample scripts