An approach to cluster Tamil literatures using discourse connectives
R Anita, CN Subalalitha - 2019 IEEE 1st International …, 2019 - ieeexplore.ieee.org
Tamil literary works have many valuable information hidden in it which may be a guide to
even to the current modern society. Tamil literary works prove to be a treasure that retains …
even to the current modern society. Tamil literary works prove to be a treasure that retains …
[PDF][PDF] Clustering by authorship within and across documents
E Stamatatos, M Tschnuggnall… - … Notes Papers of …, 2016 - repository.uantwerpen.be
The vast majority of previous studies in authorship attribution assume the existence of
documents (or parts of documents) labeled by authorship to be used as training instances in …
documents (or parts of documents) labeled by authorship to be used as training instances in …
Authorship classification in a resource constraint language using convolutional neural networks
Authorship classification is a method of automatically determining the appropriate author of
an unknown linguistic text. Although research on authorship classification has significantly …
an unknown linguistic text. Although research on authorship classification has significantly …
[图书][B] Contemporary stylistics
M Lambrou, P Stockwell - 2010 - books.google.com
Written by internationally renowned researchers in stylistics, this volume of twenty chapters
aims to provide a snapshot of current research and innovations in the field of stylistics." …
aims to provide a snapshot of current research and innovations in the field of stylistics." …
[PDF][PDF] Personae: a Corpus for Author and Personality Prediction from Text.
K Luyckx, W Daelemans - LREC, 2008 - academia.edu
Traditional approach Our approach authors small, closed set of authors large number of
authors data lots of data per author limited data results upper-90% exploratory experiments …
authors data lots of data per author limited data results upper-90% exploratory experiments …
AuthorNet: Leveraging attention-based early fusion of transformers for low-resource authorship attribution
Authorship Attribution (AA) is crucial for identifying the author of a given text from a pool of
suspects, especially with the widespread use of the internet and electronic devices …
suspects, especially with the widespread use of the internet and electronic devices …
[PDF][PDF] A tale of two cultures: Bringing literary analysis and computational linguistics together
There are cultural barriers to collaborative effort between literary scholars and computational
linguists. In this work, we discuss some of these problems in the context of our ongoing …
linguists. In this work, we discuss some of these problems in the context of our ongoing …
Automated Twitter author clustering with unsupervised learning for social media forensics
Twitter is one of the key social media platforms, which is also used for cyber-crimes. Hence,
monitoring and detecting the malicious activities of Twitter users is critically important for …
monitoring and detecting the malicious activities of Twitter users is critically important for …
A stylometric analysis on Bengali literature for authorship attribution
MT Hossain, MM Rahman, S Ismail… - 2017 20th International …, 2017 - ieeexplore.ieee.org
This paper explores the authorship attribution problem in modern Bengali literature. By
scrutinizing the writings of six Bangladeshi columnists of current time using some …
scrutinizing the writings of six Bangladeshi columnists of current time using some …
Toward a conceptual framework for the digital humanities
P Rosenbloom - Defining digital humanities, 2016 - taylorfrancis.com
For these purposes, the online edition of The Nation is just the thing. And so one day I found
myself reading a lament about the present and future of academic English departments …
myself reading a lament about the present and future of academic English departments …