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Introduction

  • Introduction
  • Text Data Preparation with R
  • Visualization by Network Graph

    • Introduction

    The Sheng Xuanhuai Archive contains correspondences between the entrepreneur Sheng Xuanhuai and other individuals in the late Qing period. The Library has digitized all the 77 volumes of correspondences that have more than 30,000 pages in over 7.5 million of words. In addition, the transcription of these texts is available in text files. The texts are also coded with labels/variables such as title, sender name, receiver name, date, key words and locations mentioned in the texts. With this huge corpus of text data, the Digital Scholarship team finds that transforming these texts into machine readable formats allows researchers to conduct studies using computational text analysis and other relevant methods. Hence, this project aims to explore possible ways of conducting research with the texts included in this archive. In addition to text analysis, we utilized the archive’s metadata to develop a Network Graph application that supports network analysis through the visualization of relationships.