Text mining for big data analysis in financial sector: A literature review
Big data technologies have a strong impact on different industries, starting from the last
decade, which continues nowadays, with the tendency to become omnipresent. The …
decade, which continues nowadays, with the tendency to become omnipresent. The …
What demographic attributes do our digital footprints reveal? A systematic review
J Hinds, AN Joinson - PloS one, 2018 - journals.plos.org
To what extent does our online activity reveal who we are? Recent research has
demonstrated that the digital traces left by individuals as they browse and interact with …
demonstrated that the digital traces left by individuals as they browse and interact with …
Authorship attribution
P Juola - Foundations and Trends® in Information Retrieval, 2008 - nowpublishers.com
Authorship attribution, the science of inferring characteristics of the author from the
characteristics of documents written by that author, is a problem with a long history and a …
characteristics of documents written by that author, is a problem with a long history and a …
Understanding the impact of personality traits on mobile app adoption–Insights from a large-scale field study
The sheer amount of available apps allows users to customize smartphones to match their
personality and interests. As one of the first large-scale studies, the impact of personality …
personality and interests. As one of the first large-scale studies, the impact of personality …
A systematic review of machine learning algorithms in cyberbullying detection: future directions and challenges
M Arif - Journal of Information Security and Cybercrimes …, 2021 - journals.nauss.edu.sa
Social media networks are becoming an essential part of life for most of the world's
population. Detecting cyberbullying using machine learning and natural language …
population. Detecting cyberbullying using machine learning and natural language …
Survey on profiling age and gender of text authors
Y HaCohen-Kerner - Expert Systems with Applications, 2022 - Elsevier
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 …
language applications. Author profiling is important for various domains such as advertising …
Language independent gender classification on Twitter
Online Social Networks (OSNs) generate a huge volume of user-originated texts. Gender
classification can serve multiple purposes. For example, commercial organizations can use …
classification can serve multiple purposes. For example, commercial organizations can use …
Chat mining: Predicting user and message attributes in computer-mediated communication
T Kucukyilmaz, BB Cambazoglu, C Aykanat… - Information Processing & …, 2008 - Elsevier
The focus of this paper is to investigate the possibility of predicting several user and
message attributes in text-based, real-time, online messaging services. For this purpose, a …
message attributes in text-based, real-time, online messaging services. For this purpose, a …
Empirical evaluation of profile characteristics for gender classification on twitter
Online Social Networks (OSNs) provide reliable communication among users from different
countries. The volume of texts generated by OSNs is huge and highly informative. Gender …
countries. The volume of texts generated by OSNs is huge and highly informative. Gender …