Add to ORKGInternational audienceIn this paper, we are interested in defining the gender of blogger while using only texts written from bloggers. For that purpose, we offer a number of features based on specific words, which were categorized into classes. For each blog, a score is calculated based on these characteristics, thereby determining the gender of its author. The evaluation was made on a corpus of 681,288 Blogs (140 million words) tagged as men or women. In our work, this collection will be taken as a reference. The obtained results show gender detection over 82% compared to the referenced collection
The user profile information is important for many studies, but essential information, such as gende...
Over the last years, author profiling in general and author gender identification in particular have...
Online social networking services have come to dominate the dot com world: Countless online communit...
In this paper, we are interested in defining the gender of blogger while using only texts written fr...
The rapid growth of public blogging on the Internet has opened up a vast trove of information that c...
In the present article, we address the problem of automatic gender classification of web blog author...
Theoretical and empirical studies prove the strong relationship between social factors and the indiv...
Treball Final de Grau en Estudis Anglesos. Codi: EA0938. Curs acadèmic: 2019/2020The emergence of th...
This paper describes an approach to automatically detect the gender of Twitter users, based only on ...
The aim of this paper is to investigate the feasibility of predicting the gender of a text document'...
This study examines gender variation on writing style employed by adolescent male and female blog wr...
Gender classification is a popular machine learning task, which has been involved in various applica...
Theoretical and empirical studies prove the strong relationship between social factors and the indiv...
This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Quantitativ...
[Abstract] Automatic user profiling from social networks has become a popular task due to its commer...
The user profile information is important for many studies, but essential information, such as gende...
Over the last years, author profiling in general and author gender identification in particular have...
Online social networking services have come to dominate the dot com world: Countless online communit...
In this paper, we are interested in defining the gender of blogger while using only texts written fr...
The rapid growth of public blogging on the Internet has opened up a vast trove of information that c...
In the present article, we address the problem of automatic gender classification of web blog author...
Theoretical and empirical studies prove the strong relationship between social factors and the indiv...
Treball Final de Grau en Estudis Anglesos. Codi: EA0938. Curs acadèmic: 2019/2020The emergence of th...
This paper describes an approach to automatically detect the gender of Twitter users, based only on ...
The aim of this paper is to investigate the feasibility of predicting the gender of a text document'...
This study examines gender variation on writing style employed by adolescent male and female blog wr...
Gender classification is a popular machine learning task, which has been involved in various applica...
Theoretical and empirical studies prove the strong relationship between social factors and the indiv...
This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Quantitativ...
[Abstract] Automatic user profiling from social networks has become a popular task due to its commer...
The user profile information is important for many studies, but essential information, such as gende...
Over the last years, author profiling in general and author gender identification in particular have...
Online social networking services have come to dominate the dot com world: Countless online communit...