Publication search
with Text mining as keyword

Cross-platform comparison of framed topics in Twitter and Weibo: machine learning approaches to social media text mining...

Published in Social Network Analysis and Mining

While the salience of social media platforms on modern interactive communication between diverse social actors has been demonstrated, less academic attention has been paid to comparisons between framed topics and user interactions across social media platforms, such as Twitter and Weibo. This article suggests text mining and natural language proces...

Progressive domain adaptation for detecting hate speech on social media with small training set and its application to C...

Published in Social Network Analysis and Mining

In this world of information and experience era, microblogging sites have been commonly used to express people feelings including fear, panic, hate and abuse. Monitoring and control of abuse on social media, especially during pandemics such as COVID-19, can help in keeping the public sentiment and morale positive. Developing the fear and hate detec...

The use of text mining to detect key shifts in Japanese first-year medical student professional identity formation throu...

Published in BMC Medical Education

BackgroundProfessional identity formation is nurtured through socialization, driven by interaction with role models, and supported through early clinical exposure (ECE) programmes. Non-healthcare professionals form part of the hospital community but are external to the culture of medicine, with their potential as role models unexplored. We employed...

DAViS: a unified solution for data collection, analyzation, and visualization in real-time stock market prediction

Published in Financial Innovation

The explosion of online information with the recent advent of digital technology in information processing, information storing, information sharing, natural language processing, and text mining techniques has enabled stock investors to uncover market movement and volatility from heterogeneous content. For example, a typical stock market investor r...

BIBLIOBICLUSTER: A Bicluster Algorithm for Bibliometrics

Bibliographic coupling and co-citation analysis methodologies were proposed in the early 60’s and 70’s to study the structure and production of scientific communities. Bibliographic coupling is fundamental to understand the current state of a particular research area and its possible and potential future direction. Co-citation analysis, instead, is...

CEA-TM: A Customer Experience Analysis Framework Based on Contextual-Aware Topic Modeling Approach

Text mining comprises different techniques capable to perform text analysis, information retrieval and extraction, categorization and visualization, is experiencing an increase of interest. Among these techniques, topic modeling algorithms, capable of discovering topics from large documents corpora, has many applications. In particular, considering...