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Mirjana Pejic Bach, Cristina M. Pulido, Dalia Su?a Vugec, Vladia Ionescu, Gisela Redondo-Sama and Laura Ruiz-Eugenio
Social impact assessment has become a major concern within the research community. While different methodological advancements have been made to better display, as well as to measure, achieved impacts, social media has proved to be a potential domain to ...
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Margarida Mendonça and Álvaro Figueira
As social media (SM) becomes increasingly prevalent, its impact on society is expected to grow accordingly. While SM has brought positive transformations, it has also amplified pre-existing issues such as misinformation, echo chambers, manipulation, and ...
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Aditya Singhal and Vijay Mago
The use of Twitter by healthcare organizations is an effective means of disseminating medical information to the public. However, the content of tweets can be influenced by various factors, such as health emergencies and medical breakthroughs. In this st...
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Konstantinos Charmanas, Nikolaos Mittas and Lefteris Angelis
Security vulnerabilities constitute one of the most important weaknesses of hardware and software security that can cause severe damage to systems, applications, and users. As a result, software vendors should prioritize the most dangerous and impactful ...
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David Olson and Bongsug (Kevin) Chae
This study examined the Security and Exchange Commission (SEC) annual reports of selected logistics firms over the period from 2006 through 2021 for risk management terms. The purpose was to identify which risks are considered most important in supply ch...
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Alexandros Kouretsis, Iraklis Varlamis, Laida Limniati, Minas Pergantis and Andreas Giannakoulopoulos
Graph-like structures, which are increasingly popular in data representation, stand out since they enable the integration of information from multiple sources. At the same time, clustering algorithms applied on graphs allow for group entities based on si...
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Donghyun Youm and Jungyoon Kim
The genre characteristics of RPG (role-playing game), which have high expectations for high sales and continuous profit generation, have created a phenomenon that has attracted many developers to become interested in the RPG market. However, recently, RP...
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Chuanlin Ning, Jian Xu, Hao Gao, Xi Yang and Tianyi Wang
The online Question and Answering (Q&A) community has grown globally, allowing users to ask, discuss, and answer questions based on shared interests. As a gathering place for people?s knowledge production, collaboration, and dissemination in the curr...
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Yue Niu, Hongjie Zhang and Jing Li
In recent years, short texts have become a kind of prevalent text on the internet. Due to the short length of each text, conventional topic models for short texts suffer from the sparsity of word co-occurrence information. Researchers have proposed diffe...
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JUNAID RASHID, SYED MUHAMMAD ADNAN SHAH, AUN IRTAZA
Pág. 213 - 222
Topic modeling is an effective text mining and information retrieval approach to organizing knowledge with various contents under a specific topic. Text documents in form of news articles are increasing very fast on the web. Analysis of these documents i...
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Muhammad G. Almatar, Huda S. Alazmi, Liuqing Li and Edward A. Fox
Researchers have developed various approaches for exploring the spatial information, temporal patterns, and Twitter content in topics of interest in order to generate a better understanding of human behavior; however, few investigations have integrated t...
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Kyoto Yono, Hiroki Sakaji, Hiroyasu Matsushima, Takashi Shimada and Kiyoshi Izumi
The uncertainty in the financial market, whether the US?China trade war will slow down the global economy or not, Federal Reserve Board (FRB) policy to increase the interest rates, or other similar macroeconomic events can have a crucial impact on the pu...
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Marçal Mora-Cantallops, Salvador Sánchez-Alonso, Elena García-Barriocanal and Miguel-Ángel Sicilia
We propose a method capable of dynamically identifying and monitoring the most relevant discussion topics of a set of authorities, without human intervention. It is robust and interruption proof, not needing any set of seed words to start the analysis.
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Xiangfeng Luo and Yawen Yi
Nowadays, massive texts are generated on the web, which contain a variety of viewpoints, attitudes, and emotions for products and services. Subjective information mining of online comments is vital for enterprises to improve their products or services an...
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Seungyeon Choo, Hyejin Park, Taehoon Kim and Jihyo Seo
Building information modeling (BIM) has emerged as one of the key trends in the architecture, engineering, and construction (AEC) industry. As interest in BIM rapidly increased, the quantity of related literature also increased, thus, it has become impor...
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Won Sang Lee and So Young Sohn
Financial technology has become an important part of the banking industry in recent times. This study attempts to propose a framework to identify emerging areas and trends using financial business method patents. Based on the abstracts of financial busin...
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Witold Abramowicz,Tomasz Kaczmarek,Marek Kowalkiewicz
There is an increasing interest in automating creation of semantic structures, especially topic maps, by taking advantage of existing, structured information resources. This article gives a preview of the most popular method ? based on RDF triples, and s...
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Wenquan Liu, Honghai Zhang, Zongbei Shi, Yufei Wang, Jing Chang and Jinpeng Zhang
The safety of air traffic control (ATC) operations is an important cornerstone for the sustainable development of the civil aviation industry. In order to clarify the risk factors in the control operation process and to achieve digital representation of ...
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Tarek Elsaka, Imad Afyouni, Ibrahim Hashem and Zaher Al Aghbari
Since the recent outbreak of COVID-19, many scientists have started working on distinct challenges related to mining the available large datasets from social media as an effective asset to understand people?s responses to the pandemic. This study present...
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Róbert Lakatos, Gergo Bogacsovics, Balázs Harangi, István Lakatos, Attila Tiba, János Tóth, Marianna Szabó and András Hajdu
The efficiency of natural language processing has improved dramatically with the advent of machine learning models, particularly neural network-based solutions. However, some tasks are still challenging, especially when considering specific domains. This...
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