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- research-articleAugust 2024
Learning Multi-view Molecular Representations with Structured and Unstructured Knowledge
KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data MiningPages 2082–2093https://doi.org/10.1145/3637528.3672043Capturing molecular knowledge with representation learning approaches holds significant potential in vast scientific fields such as chemistry and life science. An effective and generalizable molecular representation is expected to capture the consensus ...
- tutorialAugust 2024
Automated Mining of Structured Knowledge from Text in the Era of Large Language Models
KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data MiningPages 6644–6654https://doi.org/10.1145/3637528.3671469Massive amount of unstructured text data are generated daily, ranging from news articles to scientific papers. How to mine structured knowledge from the text data remains a crucial research question. Recently, large language models (LLMs) have shed light ...
- research-articleSeptember 2024
SEA-PS: Semantic embedding with attention to measuring patent similarity by leveraging various text fields
Journal of Information Science (JIPP), Volume 50, Issue 4Pages 831–850https://doi.org/10.1177/01655515221106651Similarity metrics are critical to identifying the relationships between patents. While many bibliometric methods such as co-citation and co-classification fail to use the vast majority of technical information existing in the text, most text mining ...
- short-paperJuly 2024
5th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2024)
SIGIR '24: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information RetrievalPages 3021–3024https://doi.org/10.1145/3626772.3657986Information retrieval systems for the patent domain have a long history. They can support patent experts in a variety of daily tasks: from analyzing the patent landscape to support experts in the patenting process and large-scale information extraction. ...
- ArticleJune 2024
Detection of Branded Posts in User-Generated Content
AbstractUser-generated content (UGC) is a fundamental source of information for the study of consumer behavior, product development, and to assess the quality of service. The expansion of branded content, published and mixed with “ordinary” UGC on the ...
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- ArticleJune 2024
A Study of Factors Having Suicidal Thoughts in the Japanese
Human Interface and the Management of InformationPages 262–275https://doi.org/10.1007/978-3-031-60114-9_19AbstractJapan’s suicide death rate is one of the highest in the world, especially among young people. According to a 2022 survey, about half of young people have had feelings of wanting to die in the past. In order to solve this problem, it is necessary ...
- research-articleJune 2024
Early and Realistic Exploitability Prediction of Just-Disclosed Software Vulnerabilities: How Reliable Can It Be?
ACM Transactions on Software Engineering and Methodology (TOSEM), Volume 33, Issue 6Article No.: 146, Pages 1–41https://doi.org/10.1145/3654443With the rate of discovered and disclosed vulnerabilities escalating, researchers have been experimenting with machine learning to predict whether a vulnerability will be exploited. Existing solutions leverage information unavailable when a CVE is created,...
- research-articleSeptember 2024
Mining Semantic Relations in Data References to Understand the Roles of Research Data in Academic Literature
JCDL '23: Proceedings of the 2023 ACM/IEEE Joint Conference on Digital LibrariesPages 215–227https://doi.org/10.1109/JCDL57899.2023.00039Research data serves important roles in scientific discovery and academic innovation. To appropriately assign credit for data work and to measure the value of research data, it is essential to articulate how data are actually used in research. We ...
- short-paperMay 2024
Tender Document Analyzer with the Combination of Supervised Learning and LLM-based Improver
WWW '24: Companion Proceedings of the ACM Web Conference 2024Pages 995–998https://doi.org/10.1145/3589335.3651233Bidders often take a long time to read and understand tender documents because they require specialized knowledge, and tender documents are generally long. Bidders first overview the specific items, such as payment and warranty, in a tender document and ...
- introductionMay 2024
The 12th International Workshop on Natural Language Processing for Social Media (SocialNLP 2024)
WWW '24: Companion Proceedings of the ACM Web Conference 2024Pages 1647–1648https://doi.org/10.1145/3589335.3641301The field of SocialNLP stands at the confluence of two pivotal domains: natural language processing (NLP) and social computing, offering a multidisciplinary framework for exploring the intersections between these areas. This domain is characterized by ...
- tutorialMay 2024
Text-Attributed Graph Representation Learning: Methods, Applications, and Challenges
WWW '24: Companion Proceedings of the ACM Web Conference 2024Pages 1298–1301https://doi.org/10.1145/3589335.3641255Text documents are usually connected in a graph structure, resulting in an important class of data named text-attributed graph, e.g., paper citation graph and Web page hyperlink graph. On the one hand, Graph Neural Networks (GNNs) consider text in each ...
- research-articleMay 2024
Examining the Role of Peer Acknowledgements on Social Annotations: Unraveling the Psychological Underpinnings
CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing SystemsArticle No.: 488, Pages 1–9https://doi.org/10.1145/3613904.3641906This study explores the impact of peer acknowledgement on learner engagement and implicit psychological attributes in written annotations on an online social reading platform. Participants included 91 undergraduates from a large North American ...
- research-articleApril 2024
Delivering the Future: Understanding User Perceptions of Delivery Robots
Proceedings of the ACM on Human-Computer Interaction (PACMHCI), Volume 8, Issue CSCW1Article No.: 196, Pages 1–24https://doi.org/10.1145/3653687Delivery robots are increasingly becoming part of our urban landscape. However, the general public is divided about their presence in public spaces; some welcome their usefulness, while others see them as intrusive or even threatening. This study aims to ...
- research-articleMarch 2024
Unsupervised Learning-based Approach for Contextual Understanding of Web Material Around a New Domain of Algorithmic Government
Digital Government: Research and Practice (DGOV), Volume 5, Issue 1Article No.: 2, Pages 1–20https://doi.org/10.1145/3593591Grasping the contextual nuances is fundamental for efficacious learning in a novel discipline through internet-based research. Such comprehension significantly augments the decision-making process by promoting well-grounded and informed choices. And with ...
- research-articleOctober 2024
Unveiling learner experience in MOOC reviews
International Journal of Networking and Virtual Organisations (IJNVO), Volume 31, Issue 2Pages 147–167https://doi.org/10.1504/ijnvo.2024.142241The surge of learner enrolment in massive open online courses (MOOCs) has led to a wealth of learner-generated data, such as online course reviews that document learner experience. To unveil learner experience with MOOCs, this research uses machine ...
- research-articleJuly 2024
A Scientometric Analysis of electric vehicle-based text mining
Procedia Computer Science (PROCS), Volume 234, Issue CPages 114–122https://doi.org/10.1016/j.procs.2024.03.009AbstractThe United Nations Climate Change Conference (COP 21) held in Paris on December 12, 2015, agreed on the Paris Agreement, which aims to address climate change and its negative impacts as part of the challenge of Global Warming. The transportation ...
- research-articleJuly 2024
Analyzing Brand Positioning and Brand Image of Smartphone Brands in Indonesia by Mining Online Review
- Prahardika Prihananto,
- Riedha Sabila Ardian Yusvianty,
- Nabila Silmina Hakim,
- Gita Widi Bhawika,
- Harisatul Agustin
Procedia Computer Science (PROCS), Volume 234, Issue CPages 318–332https://doi.org/10.1016/j.procs.2024.03.006AbstractA strong brand image and brand positioning are necessary to grow and lead market share, particularly for the smartphone market in Indonesia due to the intense rivalry caused by the huge smartphone market size in Indonesia. This study uses text ...
- research-articleJuly 2024
Exploring Human-Centricity in Industry 5.0: Empirical Insights from a Social Media Discourse
Procedia Computer Science (PROCS), Volume 232, Issue CPages 1859–1868https://doi.org/10.1016/j.procs.2024.02.008AbstractThe transition from Industry 4.0 towards Industry 5.0 marks a paradigm shift, emphasising human-centricity in industrial settings. Industry 5.0 focuses on improving the future role of people in addition to merely technological progress. While "...
- research-articleMarch 2024
Text mining on social media data: a systematic literature review
International Journal of Data Analysis Techniques and Strategies (IJDATS), Volume 16, Issue 1Pages 82–104https://doi.org/10.1504/ijdats.2024.137480Text mining is the process of getting meaningful information from unstructured data. In this paper, a precise writing overview was directed to research text mining via online media information. Thus, a comprehensive deliberate writing audit (SLR) was ...
- research-articleNovember 2023
A neutral zone classifier for three classes with an application to text mining
Statistical Analysis and Data Mining (STADM), Volume 16, Issue 6Pages 560–568https://doi.org/10.1002/sam.11639AbstractA classifier may be limited by its conditional misclassification rates more than its overall misclassification rate. In the case that one or more of the conditional misclassification rates are high, a neutral zone may be introduced to decrease and ...