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Titlebook: Big Data Analyses, Services, and Smart Data; Wookey Lee,Carson K. Leung,Aziz Nasridinov Conference proceedings 2021 Springer Nature Singap

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樓主: mortality
11#
發(fā)表于 2025-3-23 12:37:49 | 只看該作者
Analysis of the Effects of Nature and Facility Environmental Attributes on the Cause of Death from th by disease, while harmful materials and facilities have positive correlations. Through this study, we hope that people will recognize the importance of protecting the natural environment and the risks of harmful substances.
12#
發(fā)表于 2025-3-23 17:45:02 | 只看該作者
Conference proceedings 2021ional Conference on Big Data Applications and Services (BigDAS 2018), as well as (iii) extended papers from the Sixth IEEE International Conference on Big Data and Smart Computing (IEEE BigComp 2019). The aim of BigDAS is to present innovative results, encourage academic and industrial interaction,
13#
發(fā)表于 2025-3-23 18:38:42 | 只看該作者
Ependymal and Paraphyseal Cysts,er temporal trends in text stream. In this paper, we propose TextRank_nfidf which reflects temporal trends into phrase node weights, by computing smoothed difference of editing frequency between revisions. We confirm that detected bursts and keyphrases are matching well with events along the timeline.
14#
發(fā)表于 2025-3-24 00:39:21 | 只看該作者
Hajime Arai,Kiyoshi Sato,Anthony J. Raimondi textual data is becoming very useful. In this paper, we present an application that can detect four distinct emotions from Twitter posts. They are joy, anger, fear, and sadness. The evaluation result shows the accuracy and applicability of our application.
15#
發(fā)表于 2025-3-24 05:28:42 | 只看該作者
16#
發(fā)表于 2025-3-24 09:31:31 | 只看該作者
17#
發(fā)表于 2025-3-24 11:22:00 | 只看該作者
18#
發(fā)表于 2025-3-24 17:33:07 | 只看該作者
19#
發(fā)表于 2025-3-24 22:12:19 | 只看該作者
20#
發(fā)表于 2025-3-25 01:25:36 | 只看該作者
2194-5357 h International Conference on Big Data Applications and Services (BigDAS 2018), as well as (iii) extended papers from the Sixth IEEE International Conference on Big Data and Smart Computing (IEEE BigComp 2019). The aim of BigDAS is to present innovative results, encourage academic and industrial int
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