scholarly journals Versification and Authorship Attribution

2021 ◽  
Author(s):  
Petr Plecháč
Keyword(s):  
Machine Learning ◽  
Nineteenth Century ◽  
William Shakespeare ◽  
Authorship Attribution ◽  
John Fletcher ◽  
The World ◽  
Russian Author ◽  
Poetic Texts

The technique known as contemporary stylometry uses different methods, including machine learning, to discover a poem’s author based on features like the frequencies of words and character n-grams. However, there is one potential textual fingerprint stylometry tends to ignore: versification, or the very making of language into verse. Using poetic texts in three different languages (Czech, German, and Spanish), Petr Plecháč asks whether versification features like rhythm patterns and types of rhyme can help determine authorship. He then tests its findings on two unsolved literary mysteries. In the first, Plecháč distinguishes the parts of the Elizabethan verse play The Two Noble Kinsmen written by William Shakespeare from those written by his coauthor, John Fletcher. In the second, he seeks to solve a case of suspected forgery: how authentic was a group of poems first published as the work of the nineteenth-century Russian author Gavriil Stepanovich Batenkov? This book of poetic investigation should appeal to literary sleuths the world over.

scholarly journals Relative contributions of Shakespeare and Fletcher in Henry VIII: An analysis based on most frequent words and most frequent rhythmic patterns

2020 ◽  
Author(s):  
Petr Plecháč
Keyword(s):  
Machine Learning ◽  
William Shakespeare ◽  
Collaborative Work ◽  
Machine Learning Techniques ◽  
Henry Viii ◽  
John Fletcher ◽  
Combined Analysis ◽  
Learning Techniques ◽  
New Evidence

Abstract The versified play Henry VIII is nowadays widely recognized to be a collaborative work not written solely by William Shakespeare. We employ combined analysis of vocabulary and versification together with machine learning techniques to determine which other authors took part in the writing of the play and what were their relative contributions. Unlike most previous studies, we go beyond the attribution of particular scenes and use the rolling attribution approach to determine the probabilities of authorship of pieces of texts, without respecting the scene boundaries. Our results highly support the canonical division of the play between William Shakespeare and John Fletcher proposed by James Spedding, but also bring new evidence supporting the modifications proposed later by Thomas Merriam.

scholarly journals Analysis of authorship attribution technique on Urdu tweets empowered by machine learning

2021 ◽  
Vol 10 (3) ◽  
pp. 2150-2157
Keyword(s):  
Machine Learning ◽  
Cosine Similarity ◽  
Authorship Attribution ◽  
Writing Style ◽  
Accuracy Rate ◽  
The World ◽  
Linguistic Level ◽  
N Gram ◽  
Investigation Process

Theprocess of identifying the author of an anonymous document from a group of unknown documents is called authorship attribution. As the world is trending towards shorter communications, the trend of online criminal activities like phishing and bullying are also increasing. The criminal hides their identity behind the screen name and connects anonymously. Which generates difficulty while tracing criminals during the cybercrime investigation process. This paper evaluates current techniques of authorship attribution at the linguistic level and compares the accuracy rate in terms of English and Urdu context, by using the LDA model with n-gram technique and cosine similarity, used to work on Stylometry features to identify the writing style of a specific author. Two datasets are used Urdu_TD and English_TD based on 180 English and Urdu tweets against each author. The overall accuracy that we achieved from Urdu_TD is 84.52% accuracy and 93.17% accuracy on English_TD. The task is done without using any labels for authorship

Feature extraction and prediction of Dengue Outbreaks

2020 ◽  
pp. 216-222
Author(s):  
Kunal Parikh ◽  
Tanvi Makadia ◽  
Harshil Patel
Keyword(s):  
Public Health ◽  
Machine Learning ◽  
Developing Countries ◽  
Feature Extraction ◽  
Predictive Analytics ◽  
Learning Algorithm ◽  
Machine Learning Algorithm ◽  
Health Concerns ◽  
The World ◽  
Dengue Outbreaks

Dengue is unquestionably one of the biggest health concerns in India and for many other developing countries. Unfortunately, many people have lost their lives because of it. Every year, approximately 390 million dengue infections occur around the world among which 500,000 people are seriously infected and 25,000 people have died annually. Many factors could cause dengue such as temperature, humidity, precipitation, inadequate public health, and many others. In this paper, we are proposing a method to perform predictive analytics on dengue’s dataset using KNN: a machine-learning algorithm. This analysis would help in the prediction of future cases and we could save the lives of many.

The Disinherited in Shakespeare’s Plays

Moreana ◽  
2008 ◽  
Vol 45 (Number 173) (1) ◽  
pp. 167-174
Author(s):  
Peter Milward
Keyword(s):  
William Shakespeare ◽  
Historical Record ◽  
English History ◽  
The World ◽  
End Of The World

In conjunction with the current “revisionism” of English history from a Catholic viewpoint, it is time to undertake a corresponding revision of the plays and personality of William Shakespeare. For this purpose it is not enough to rest content with the meagre historical record, but we have to go ahead in the light of recusant history with a reinterpretation of the plays, considering the extent to which they lend themselves to the Catholic viewpoint. This is not merely a matter of nostalgia for the mediaeval past, but it looks above all to the present sufferings of the “disinherited” English Catholics — in the light of the continued presence of Christ who is suffering, as Pascal famously noted, in his faithful even till the end of the world.

‘Otherwise in London’ or, the ‘Essence of Things’: Modernity and Estrangement in the Nineteenth-Century Cityscape

2015 ◽  
Vol 5 (1) ◽  
pp. 17-35
Author(s):  
Julian Wolfreys
Keyword(s):  
Nineteenth Century ◽  
William Wordsworth ◽  
Urban Landscape ◽  
Thomas De Quincey ◽  
Urban Centre ◽  
Early Nineteenth Century ◽  
Urban Representation ◽  
Robert Southey ◽  
The World ◽  
The City

Writers of the early nineteenth century sought to find new ways of writing about the urban landscape when first confronted with the phenomena of London. The very nature of London's rapid growth, its unprecedented scale, and its mere difference from any other urban centre throughout the world marked it out as demanding a different register in prose and poetry. The condition of writing the city, of inventing a new writing for a new experience is explored by familiar texts of urban representation such as by Thomas De Quincey and William Wordsworth, as well as through less widely read authors such as Sarah Green, Pierce Egan, and Robert Southey, particularly his fictional Letters from England.

Mirrors, Masks, and Masculinity: The Homosocial Legacy from Dickens to Machen

2016 ◽  
Vol 6 (3) ◽  
pp. 256-275
Author(s):  
Molly C. O'Donnell
Keyword(s):  
Nineteenth Century ◽  
Victorian Novel ◽  
Specific Context ◽  
Clear Cut ◽  
The World ◽  
Speech Genre

All the narrators and characters in J. Sheridan Le Fanu's In a Glass Darkly are unreliable impostors. As the title suggests, this is also the case with Arthur Machen's The Three Impostors, which similarly presents a virtual matryoshka of unreliability through a series of impostors. Both texts effect this systematic insistence on social constructedness by using and undermining the specific context of the male homosocial world. What served as the cure-all in the world of Pickwick – the homosocial bond – has here been exported, exposed, and proven flawed. The gothic is out in the open now, and the feared ghost resides without and within the group. The inability of anyone to interpret its signs, communicate its meaning, and rely on one's friends to talk one through it is the horror that cannot be overcome. Part of a larger project on the nineteenth-century ‘tales novel’ that treats the more heterogeneric and less heteronormative Victorian novel, this article examines how In a Glass Darkly and The Three Impostors blur the clear-cut gender division articulated in prior masculine presentations like The Pickwick Papers and feminine reinterpretations such as Cranford. These later texts challenge binaries of sex, speech, genre, and mode in enacting the previously articulated masculine and feminine simultaneously.

Introduction

2017 ◽  
Author(s):  
George E. Dutton
Keyword(s):  
Nineteenth Century ◽  
Vantage Point ◽  
15Th Century ◽  
The World ◽  
Catholic Mission ◽  
Historical Moment ◽  
The Impact ◽  
Main Figure

This chapter introduces the book’s main figure and situates him within the historical moment from which he emerges. It shows the degree to which global geographies shaped the European Catholic mission project. It describes the impact of the Padroado system that divided the world for evangelism between the Spanish and Portuguese crowns in the 15th century. It also argues that European clerics were drawing lines on Asian lands even before colonial regimes were established in the nineteenth century, suggesting that these earlier mapping projects were also extremely significant in shaping the lives of people in Asia. I argue for the value of telling this story from the vantage point of a Vietnamese Catholic, and thus restoring agency to a population often obscured by the lives of European missionaries.

Platform for Analysing and Encouraging Student Activity on Contest and E-learning Systems

2018 ◽  
Vol 12 ◽  
pp. 85-98
Author(s):  
Bojan Kostadinov ◽  
Mile Jovanov ◽  
Emil STANKOV
Keyword(s):  
Machine Learning ◽  
Data Collection ◽  
Educational Policy ◽  
Learning Systems ◽  
Data Sources ◽  
Or Education ◽  
Student Activity ◽  
The World ◽  
E Learning ◽  
Analyse Data

Data collection and machine learning are changing the world. Whether it is medicine, sports or education, companies and institutions are investing a lot of time and money in systems that gather, process and analyse data. Likewise, to improve competitiveness, a lot of countries are making changes to their educational policy by supporting STEM disciplines. Therefore, it’s important to put effort into using various data sources to help students succeed in STEM. In this paper, we present a platform that can analyse student’s activity on various contest and e-learning systems, combine and process the data, and then present it in various ways that are easy to understand. This in turn enables teachers and organizers to recognize talented and hardworking students, identify issues, and/or motivate students to practice and work on areas where they’re weaker.

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