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1
Real-time Speech Emotion Recognition Based on Syllable-Level Feature Extraction ...
Rehman, Abdul; Liu, Zhen-Tao; Wu, Min. - : arXiv, 2022
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2
Application of artificial intelligence in gastrointestinal disease: a narrative review
In: Ann Transl Med (2021)
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3
Proactive Personality Measurement Using Item Response Theory and Social Media Text Mining
In: Front Psychol (2021)
Abstract: This prospective study was designed to propose a novel method of assessing proactive personality by combining text mining technology and Item Response Theory (IRT) to measure proactive personality more efficiently. We got freely expressed texts (essay question text dataset and social media text dataset) and item response data on the topic of proactive personality from 901 college students. To enhance validity and reliability, three different approaches were employed in the study. In Method 1, we used item response data to develop a proactive personality evaluation model based on IRT. In Method 2, we used freely expressed texts to develop a proactive personality evaluation model based on text mining. In Method 3, we utilized the text mining results as the prior information for the IRT estimation and built a proactive personality evaluation model combining text mining and IRT. Finally, we evaluated those three approaches via the confusion matrix indicators. The major result revealed that (1) the combined method based on essay question text, micro-blog text with pre-estimated IRT parameters performed the highest accuracy of 0.849; (2) the combined method using essay question text and pre-estimated IRT parameters performed the highest sensitivity of 0.821; (3) the text classification method based on essay question text had the best performance on the specificity of 0.959; and (4) if the models were considered comprehensively, the combined method using essay question text, micro-blog text, and pre-estimated IRT parameters achieved the best performance. Thus, we concluded that the novel combined method was significantly better than the other two traditional methods based on IRT and text mining.
Keyword: Psychology
URL: https://doi.org/10.3389/fpsyg.2021.705005
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8339287/
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4
Influencing overseas Chinese by tweets: text-images as the key tactic of Chinese propaganda
In: J Comput Soc Sci (2020)
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5
Effects of syringeal denervation on the vocalization in red-billed Leiothrix ( Leiothrix lutea )
WU, Min; LV, Yuan; ZHENG, Zhi-Qiang. - : Kunming Institute of Zoology, Chinese Academy of Sciences, 2014
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6
Multi-label ensemble based on variable pairwise constraint projection
In: Information sciences. - New York, NY : Elsevier Science Inc. 222 (2013), 269-281
OLC Linguistik
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7
A Type-2 FML-Based Meeting Scheduling Support System.
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8
A multi-level ant-colony mining algorithm for membership functions
In: Information sciences. - New York, NY : Elsevier Science Inc. 182 (2012) 1, 3-14
OLC Linguistik
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9
Robust decentralized direct adaptive output feedback fuzzy control for a class of large-sale nonaffine nonlinear systems
In: Information sciences. - New York, NY : Elsevier Science Inc. 181 (2011) 11, 2392-2404
OLC Linguistik
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10
Pupopsis subpupopsis Wu & Gao, 2010, sp. nov. ...
Wu, Min; Gao, Linhui. - : Zenodo, 2010
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11
Pupopsis yengiawat Wu & Gao, 2010, sp. nov. ...
Wu, Min; Gao, Linhui. - : Zenodo, 2010
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12
Pupopsis maoxian Wu & Gao, 2010, sp. nov. ...
Wu, Min; Gao, Linhui. - : Zenodo, 2010
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13
Pupopsis yengiawat Wu & Gao, 2010, sp. nov. ...
Wu, Min; Gao, Linhui. - : Zenodo, 2010
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14
Pupopsis yuxu Wu & Gao, 2010, sp. nov. ...
Wu, Min; Gao, Linhui. - : Zenodo, 2010
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15
Pupopsis yuxu Wu & Gao, 2010, sp. nov. ...
Wu, Min; Gao, Linhui. - : Zenodo, 2010
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16
Pupopsis subpupopsis Wu & Gao, 2010, sp. nov. ...
Wu, Min; Gao, Linhui. - : Zenodo, 2010
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17
Pupopsis maoxian Wu & Gao, 2010, sp. nov. ...
Wu, Min; Gao, Linhui. - : Zenodo, 2010
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18
The AMITIÉS system : data-driven techniques for automated dialogue
In: Speech communication. - Amsterdam [u.a.] : Elsevier 48 (2006) 3-4, 354-373
BLLDB
OLC Linguistik
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19
Dialogue Management for an Automated Multilingual Call Center
In: DTIC (2003)
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