Paper Info
Title
Identifying Authorship From Linguistic Text Patterns
Abstract
Research that deals with linguistic text patterns is challenging because of the unstructured nature of text. This research presents a methodology to compare texts to identify whether two texts are written by the same or different authors. The methodology includes an algorithm to analyze the proximity of text, which is based upon Zipf's Law [47][48]. The results have implications for text mining with applications to areas such as forensics, natural language processing, and information retrieval.
Year
DOI
Venue
2019
10.24251/hicss.2019.693
PROCEEDINGS OF THE 52ND ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES
Field
DocType
Citations 
Computer science,Linguistics
Conference
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Joshua Madden100.34
Veda C. Storey22796542.19
Richard Baskerville32793197.31