Automatic and intelligent content visualization system based on deep learning and genetic algorithm

M Ince - Neural Computing and Applications, 2022 - Springer
Increasing demand in distance education, e-learning, web-based learning, and other digital
sectors (eg, entertainment) has led to excessive amounts of e-content. Learning objects …

Knowledge-context in search systems: toward information-literate actions

CL Smith, SY Rieh - Proceedings of the 2019 Conference on Human …, 2019 - dl.acm.org
In this perspectives paper we define knowledge-context as meta information that searchers
use when making sense of information displayed in and accessible from a search engine …

Enhancing AI Research Paper Analysis: Methodology Component Extraction using Factored Transformer-based Sequence Modeling Approach

M Ghosh, D Ganguly, P Basuchowdhuri… - arXiv preprint arXiv …, 2023 - arxiv.org
Research in scientific disciplines evolves, often rapidly, over time with the emergence of
novel methodologies and their associated terminologies. While methodologies themselves …

The representation of street art on Flickr. Studying reception with visual content analysis

A Philipps, S Zerr, E Herder - Visual studies, 2017 - Taylor & Francis
Street art is public art; it's accessible; it's of the people; it's an urban voice; it's on public view;
it's on-the-street. Nonetheless, the World Wide Web has been party responsible for street art …

Characterising users' task completion process in learning-related tasks: A search pace model

C Liu, X Song, P Hansen - Journal of Information Science, 2023 - journals.sagepub.com
This study investigated users' searching, reading and writing interactions and their activity
transitions during task completion process when users were collecting information for …

Making sense of darknet markets: Automatic inference of semantic classifications from unconventional multimedia datasets

A Berman, CL Paul - HCI for Cybersecurity, Privacy and Trust: First …, 2019 - Springer
Darknet Markets are a hotbed of illicit trade and are difficult for law enforcement to monitor
and analyze. Topic Modeling has been a popular method to semantically analyze market …

Comparative study of graphic-based tag clouds: theory and experimental evaluation for information search

X Ma, H Ma - Online Information Review, 2020 - emerald.com
Purpose Graphic-based tag clouds aim to visually represent tag content and tag structure,
and then to better represent tagged information for later search. However, few studies have …

Visualizing a thinker's life

P Riehmann, D Kiesel, M Kohlhaas… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper presents a visualization framework that aids readers in understanding and
analyzing the contents of medium-sized text collections that are typical for the opus of a …

Using Formal Concept Analysis for Corpus Visualisation and Relevance Analysis

F Boissier, I Rychkova, B Le Grand - 16th International Conference on …, 2024 - hal.science
Corpora analysis is a common task in digital humanities that profits from the advances in
topic modeling and visualization from the computer science and information system fields …

[PDF][PDF] Direct Visual Feedback on the Process of Ideation using Text Network Graphs Encourages a more Coherent Expression of Ideas

D Paranyushkin - Nodus Labs, 2018 - noduslabs.com
Diagrams and visual maps used to represent information as a network of interconnected
nodes are widely used to aid one's understanding of data and produce novel interpretations …