Segmenting Chinese Texts into Words for Semantic Network Analysis

Abstract

Unlike most languages, written Chinese has no spaces between words. Word segmentation must be performed before semantic network analysis can be conducted. This paper describes how to perform Chinese word segmentation using the Stanford Natural Language Processing group’s Stanford Word Segmenter v. 3.8.0, released in June 2017.

Keywords

• transnational studies
• social capital
• online sharing
• sender-effect
• young adults