Results 81 to 90 of about 10,729 (237)
Application Research of BiLSTM in Cross-Site Scripting Detection
Jisuanji kexue yu tansuo, 2020 At present, machine learning methods are used in the most traditional cross-site scripting (XSS) detection technologies, which have some defects, such as bad readability because of maliciously confused code, insufficient feature extraction and low ...
CHENG Qiqin, WAN Liang
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Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019 The \em word2vec methodology such as Skip-gram and CBOW has seen significant interest in recent years because of its ability to model semantic notions of word similarity and distances in sentences. A related methodology, referred to as \em doc2vec is also able to embed sentences and paragraphs. These methodologies, however, lead to different embeddings
Suhang Wang +2 more
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A qualitative assessment of quantitative easing sentiment
Economic Inquiry, EarlyView.Abstract This mixed‐method study undertakes a comprehensive inquiry of the public discourse on social media surrounding quantitative easing (QE) across the US, the UK, and the European Union. Utilizing a unique tweet dataset, we reveal the sentiment polarity toward QE policy to be strongly negative, at 71.27%, with positive sentiment a mere 4.25 ...
Niamh Wylie, Martha O’Hagan‐Luff
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Intangible Value Creation Through Teamwork
Financial Management, EarlyView.ABSTRACT Using a sample of US firms from 1993 to 2023, comprising 38,502 firm‐year observations, we find that collaboration culture positively correlates with intangible value creation. We identify corporate innovation and human capital as the mechanisms via which collaboration correlates with intangible value creation.
Sagarika Mishra +2 more
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International Transactions in Operational Research, EarlyView.Abstract Emergency department (ED) overcrowding and inefficient patient flow are significant operational challenges, often amplified by the volume of patients sustaining fall‐related injuries. This study predicts hospital admission for these encounters by leveraging unstructured clinical text: triage chief complaints (reasons for seeking care) and ...
Dinesh R. Pai +2 more
wiley +1 more source
Word2vec convolutional neural networks for classification of news articles and tweets.
PLoS ONE, 2019 Big web data from sources including online news and Twitter are good resources for investigating deep learning. However, collected news articles and tweets almost certainly contain data unnecessary for learning, and this disturbs accurate learning.
Beakcheol Jang +2 more
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word2vec Parameter Learning Explained
CoRR, 2014 The word2vec model and application by Mikolov et al. have attracted a great amount of attention in recent two years. The vector representations of words learned by word2vec models have been shown to carry semantic meanings and are useful in various NLP tasks.
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Toward Incorporation of Relevant Documents in word2vec
CoRR, 2017 Recent advances in neural word embedding provide significant benefit to various information retrieval tasks. However as shown by recent studies, adapting the embedding models for the needs of IR tasks can bring considerable further improvements. The embedding models in general define the term relatedness by exploiting the terms' co-occurrences in short-
Navid Rekabsaz +3 more
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Research Direction and Science Evaluation: The Role of Coherence and Alignment
Journal of Economics &Management Strategy, EarlyView.ABSTRACT The decisions of funding agencies greatly influence the direction of scientific research; however, our understanding of how applicants' research directions affect the selection process remains limited. In this study, we investigate how a project's coherence with a scientist's previous work and its alignment with current scientific trends ...
Charles Ayoubi +3 more
wiley +1 more source
An Approximate Model for Event Detection From Twitter Data
IEEE Access, 2020 The abundance and real-time availability of Twitter data have proved beneficial in detecting events in various domains such as emergency situations, crime detection, public health, place recommendations, etc.
Aarzoo Dhiman, Durga Toshniwal
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