NLP Toolkit for Social Science

Overview

It is a natural language processing (NLP) toolkit for social science and communication study. The main functionalities include text crawling, text tokenization, token filtering and token clustering, which we hope can facilitate the research of computational social science.

Further information please contact Ziwei Liu and Alice Zhang.

Requirements

This software is written in Python and MATLAB, which requires the following third party libraries:

• Beautiful Soup
• THULAC-Python