Authorship Identification Based on Phrase Patterns
نویسندگان
چکیده
منابع مشابه
Pass-Phrase based Speaker Identification
The problem of speaker identification is an area with many different applications. The most practical use can be found in applications dealing with security, surveillance, and automatic transcription in a multi-speaker environment. Speaker identification is a difficult task and the task has several different approaches. The state of the art for speaker identification techniques include Dynamic ...
متن کاملLiterary authorship attribution with phrase-structure fragments
We present a method of authorship attribution and stylometry that exploits hierarchical information in phrase-structures. Contrary to much previous work in stylometry, we focus on content words rather than function words. Texts are parsed to obtain phrase-structures, and compared with texts to be analyzed. An efficient tree kernel method identifies common tree fragments among data of known auth...
متن کاملAn Automata Based Authorship Identification System
AN AUTOMATA BASED AUTHORSHIP IDENTIFICATION SYSTEM by Shangxuan Zhang This thesis gives a design and implementation for an authorship identification system based on automata modeling. The writing samples of an author were collected to build a tree and use the ALERGIA algorithm to merge all the compatible states of the tree in order to get a stochastic finite automaton. This automaton represents...
متن کاملCEAI: CCM based Email Authorship Identification Model
In this paper we present a model for email authorship identification (EAI) by employing a Cluster-based Classification (CCM) technique. Traditionally, stylometric features have been successfully employed in various authorship analysis tasks; we extend the traditional feature-set to include some more interesting and effective features for email authorship identification (e.g. the last punctuatio...
متن کاملIdentifying Evolutionary Topic Temporal Patterns Based on Bursty Phrase Clustering
We discuss a temporal text mining task on finding evolutionary patterns of topics from a collection of article revisions. To reveal the evolution of topics, we propose a novel method for finding key phrases that are bursty and significant in terms of revision histories. Then we show a time series clustering method to group phrases that have similar burst histories, where additions and deletions...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Kodo Keiryogaku (The Japanese Journal of Behaviormetrics)
سال: 2013
ISSN: 0385-5481,1880-4705
DOI: 10.2333/jbhmk.40.17