Text mining for big data analysis in financial sector: A literature review

M Pejić Bach, Ž Krstić, S Seljan, L Turulja - Sustainability, 2019 - mdpi.com
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 …

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 …

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 …

Understanding the impact of personality traits on mobile app adoption–Insights from a large-scale field study

R Xu, RM Frey, E Fleisch, A Ilic - Computers in Human Behavior, 2016 - Elsevier
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 …

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 …

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 independent gender classification on Twitter

JS Alowibdi, UA Buy, P Yu - Proceedings of the 2013 IEEE/ACM …, 2013 - dl.acm.org
Online Social Networks (OSNs) generate a huge volume of user-originated texts. Gender
classification can serve multiple purposes. For example, commercial organizations can use …

Ethics in linguistics

A D'Arcy, EM Bender - Annual Review of Linguistics, 2023 - annualreviews.org
In linguistics, ethics has long encompassed matters typically covered under regulatory
oversight, but it is increasingly understood as relational and reciprocal, conferring …

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 …

Empirical evaluation of profile characteristics for gender classification on twitter

JS Alowibdi, UA Buy, P Yu - 2013 12th international conference …, 2013 - ieeexplore.ieee.org
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 …