Results 51 to 60 of about 32,474 (200)

Hoax Detection System on Twitter using Feed-Forward and Back-Propagation Neural Networks Classification Method

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2020
Social media is one of the ways to connect every individual in the world. It also used by irresponsible people to spread a hoax. Hoax is false news that is made as if it is true. It may cause anxiety and panic in society.
Crisanadenta Wintang Kencana, Erwin Budi Setiawan, Isman Kurniawan   +2 more
doaj   +1 more source

Efficient Parallel Learning of Word2Vec [PDF]

, 2016
Since its introduction, Word2Vec and its variants are widely used to learn semantics-preserving representations of words or entities in an embedding space, which can be used to produce state-of-art results for various Natural Language Processing tasks.
Vuurens, J.B.P., Eickhoff, C., Vries, A.P. de   +2 more
openaire   +2 more sources

Deriving a Representative Vector for Ontology Classes with Instance Word Vector Embeddings

, 2017
Selecting a representative vector for a set of vectors is a very common requirement in many algorithmic tasks. Traditionally, the mean or median vector is selected.
Ayesha, Buddhi, de Silva, Nisansa, Jayawardana, Vindula, Lakmal, Dimuthu, Perera, Amal Shehan, Sugathadasa, Keet   +5 more
core   +1 more source

Neural Language Models for Nineteenth-Century English

Journal of Open Humanities Data, 2021
We present four types of neural language models trained on a large historical dataset of books in English, published between 1760 and 1900, and comprised of ≈5.1 billion tokens.
Kasra Hosseini, Kaspar Beelen, Giovanni Colavizza, Mariona Coll Ardanuy   +3 more
doaj   +1 more source

Modeling Musical Context with Word2vec

First International Workshop On Deep Learning and Music, 2017
Proceedings of the First International Conference on Deep Learning and Music, Anchorage, US, May, 2017 (arXiv:1706.08675v1 [cs.NE])
Herremans, Dorien, Chuan, Ching-Hua
openaire   +3 more sources

Multimodal AI‐Driven Identification of Dehydrocostus Lactone as a Potent Renal Fibrosis Attenuator Targeting IQGAP1

Advanced Science, EarlyView.
Renal fibrosis, a hallmark of CKD, lacks effective treatments. Herein, we developed a multimodal AI model (TCM‐SPred) to identify anti‐fibrotic agents and found that dehydrocostus lactone (DCL) targets IQGAP1 to inhibit Wnt signaling, blocking the interaction between IQGAP1 and CCT3, demonstrating potent anti‐fibrotic activity in vitro and in vivo ...
Weijiang Lin, Wenzhuo Xu, Kang Liu, Ping Wang, Zhenzhen Zhu, Wenyu Lu, Zhe Zheng, Xiaoqian Peng, Xunkai Yin, Shulan Mei, An Pan, Jian Liu, Lihong Hu   +12 more
wiley   +1 more source

Optimizing word embeddings for small datasets: a case study on patient portal messages from breast cancer patients

Scientific Reports
Patient portal messages often relate to specific clinical phenomena (e.g., patients undergoing treatment for breast cancer) and, as a result, have received increasing attention in biomedical research.
Qingyuan Song, Congning Ni, Jeremy L. Warner, Qingxia Chen, Lijun Song, S. Trent Rosenbloom, Bradley A. Malin, Zhijun Yin   +7 more
doaj   +1 more source

Harnessing Generative AI for Sustainable Supply Chains: Lean, Circular and Green Perspectives

Business Strategy and the Environment, EarlyView.
ABSTRACT Generative artificial intelligence is playing a significant role in the transformation of digital ecosystems by reinventing the processes of content generation, process automation, product innovation and customer experience. At the same time that these technologies are becoming more integrated into routine operations, the focus has shifted to ...
Ashutosh Singh, Rsha Alghafes, Judit Petra Koltai, Sushant Kumar Vishnoi   +3 more
wiley   +1 more source

Automatic classification method of coal mine safety hidden danger informatio

Gong-kuang zidonghua, 2018
Manual classification method is difficult to meet classification requirements of massive coal mine safety hidden danger information, and automatic text classification method based on probability statistics has low classification accuracy rate. In view of
XIE Binhong, MA Fei, PAN Lihu, ZHANG Yingjun   +3 more
doaj   +1 more source

A framework of design concept generation framework with operations on extensional conceptual space

Nihon Kikai Gakkai ronbunshu, 2022
In the conceptual design phase, generating novel concepts is a cornerstone for producing innovative products. This paper proposes a framework for design concept generation with an extensional conceptual space (ECS).
Yutaka NOMAGUCHI, Koki SHODA, Tomoya TACHIBANA, Kikuo FUJITA   +3 more
doaj   +1 more source