User story extraction from natural language for requirements elicitation: Identify software-related information from online news

D Siahaan, IK Raharjana, C Fatichah - Information and Software …, 2023 - Elsevier
Context The user story is a popular artifact in agile software development. Extracting user
stories is helpful for process improvement in requirements elicitation, closing limitations such …

Reflection of people's professions on social media platforms

Ö Dağıstanlı, H Erbay, H Kör, AH Yurttakal - Neural Computing and …, 2023 - Springer
John Holland asserts that most people are one of the six personality types such as realistic,
social, investigative, entrepreneurial, traditional, and artistic. Moreover, he claims that …

3M-transformers for event coding on organized crime domain

ES Parolin, L Khan, J Osorio, PT Brandt… - 2021 IEEE 8th …, 2021 - ieeexplore.ieee.org
Political scientists and security agencies increasingly rely on computerized event data
generation to track conflict processes and violence around the world. However, most of …

Hanke: Hierarchical attention networks for knowledge extraction in political science domain

ES Parolin, L Khan, J Osorio, V D'Orazio… - 2020 IEEE 7th …, 2020 - ieeexplore.ieee.org
Extracting structured metadata from unstructured text in different domains is gaining strong
attention from multiple research communities. In Political Science, these metadata play a …

Come-ke: A new transformers based approach for knowledge extraction in conflict and mediation domain

ES Parolin, Y Hu, L Khan, J Osorio… - … Conference on Big …, 2021 - ieeexplore.ieee.org
Knowledge discovery and extraction approaches attract special attention across industries
and areas moving toward the 5V Era. In the political and social sciences, scholars and …

[PDF][PDF] An online structured political event dataset based on CAMEO ontology

S Salam, P Brandt, V D'Orazio, J Holmes, J Osorio… - 2020 - files.osf.io
Political activities and interactions between different global entities are becoming growing
field for data-intensive computing with a wide scope of research opportunities for both social …

Forecasting battles: New machine learning methods for predicting armed conflict

M Croicu - 2025 - diva-portal.org
Forecasting battles : New machine learning methods for predicting armed conflict diva-portal.org
Digitala Vetenskapliga Arkivet Simple search Advanced search - Research publications …

Analysis of Ontology-Based Semantic Association Rule Mining

G Jeyakodi, PS Bala - Semantic Web Technologies, 2022 - api.taylorfrancis.com
Covid-19 pandemic builds the world towards digital transformation and all the organizations
generate a huge amount of data every day, among which hospitals and social media are …

Deep Learning Methods for Improving Event Extraction on Political and Social Science Studies

E Skorupa Parolin - 2022 - utd-ir.tdl.org
Political and social scholars increasingly rely on event coders, which are automated systems
that extract structured event representations from news articles, in order to monitor, ana-lyze …

[PDF][PDF] Tag recommendation system for publishing posts on the Pikabu portal

OA Dmitrievna - 2022 - dspace.spbu.ru
At present, millions of user texts are published daily by popular user communities. It is
possible to speed up the publication process with the help of a tag recommendation system …