Авторды профилдеу

This paper reports on the application of the Text Attribution Tool (TAT) to profiling the authors of Arabic emails. The TAT sys- tem has been developed for the purpose of …...

Attempts to profile authors based on their characteristics, including native language, have drawn attention in recent years, via sev- eral approaches using machine learning with simple features. In this paper …...

AbstractOver the last years, author profiling in general and author gender identification in particular have become a popular research area due to their potential attractive applications that range from forensic …...

AbstractIn most of the research studies on Author Profiling, large quantities of correctly labeled data are used to train the models. However, this does not reflect the reality in forensic …...

AbstractGender identification in social networks is one of the most popular aspects of user profile learning. Traditionally it has been linked to author profiling, a difficult problem to solve because …...

Author profiling - the computational task of prediction author’s demographics from text - has been a popular research topic in the NLP field, and also the focus of a number …...

AbstractPooling is an essential component of a wide variety of sentence representation and embedding models. This paper explores generalized pooling methods to enhance sentence embedding. We propose vector-based multi-head attention …...

This paper presents a system for author profiling (AP) modeling that reduces the complexity and time of building a sophisticated model for a number of different AP tasks. The system …...