Author profiling from text documents has become a popular task in latest years, in natural
language applications. Author profiling is important for various domains such as advertising …

Artificial intelligence (AI) is creating a revolution in business and society at large, as well as
challenges for organizations. AI‐powered social bots can sense, think and act on social …

With the recent progress made in network and computing technology, the ubiquity of data,
and textual repositories freely available, the scientific practice evolves towards a more data …

This article describes the participation in the Bots and Gender Profiling shared task in PAN
at CLEF 2019. We propose a Support Vector Machine Classifier with character and word n …

Proactively identifying misinformation spreaders is an important step towards mitigating the
impact of fake news on our society. In this paper, we introduce a new contemporary Reddit …

The rising usage of social media has motivated to invent different methodologies of
anonymous writing, which leads to an increase in malicious and suspicious activities. This …

Social bots are automated programs that generate a significant amount of social media
content. This content can be harmful, as it may target a certain audience to influence …

This article describes the contribution of the Natural Language Processing Lab of CIC-IPN,
Mexico in task bots and gender profiling at PAN-19 evaluation lab. The escalation in the use …

Style change detection focuses on the intrinsic characteristics of a document to determine
the location of authorship changes. In this paper, we describe how style change detection …

This paper presents a novel author profiling method specially aimed at classifying social
network users into the multidimensional perspectives for social business intelligence (SBI) …