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Chinese Word Segmentation with Heterogeneous Graph Neural Network ...
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The Correlation Between Internet Addiction and Interpersonal Relationship Among Teenagers and College Students Based on Pearson's Correlation Coefficient: A Systematic Review and Meta-Analysis
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In: Front Psychiatry (2022)
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A Novel Interval-Valued q-Rung Dual Hesitant Linguistic Multi-Attribute Decision-Making Method Based on Linguistic Scale Functions and Power Hamy Mean
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In: Entropy (Basel) (2022)
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As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical Translation ...
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Putting words into the system's mouth: A targeted attack on neural machine translation using monolingual data poisoning ...
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A General Framework for Learning Prosodic-Enhanced Representation of Rap Lyrics ...
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Word Distance Affects Subjective Temporal Distance
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In: Front Psychol (2021)
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Proactive Personality Measurement Using Item Response Theory and Social Media Text Mining
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In: Front Psychol (2021)
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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.
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Keyword:
Psychology
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URL: https://doi.org/10.3389/fpsyg.2021.705005 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8339287/
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Impaired Interhemispheric Synchrony in Bronchial Asthma
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In: Int J Gen Med (2021)
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Two Distinct Clinical Phenotypes of Bulbar Motor Impairment in Amyotrophic Lateral Sclerosis
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In: Front Neurol (2021)
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Multiple attribute group decision-making based on interval-valued q-rung orthopair uncertain linguistic power Muirhead mean operators and linguistic scale functions
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In: PLoS One (2021)
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A neurophysiological model of speech production deficits in fragile X syndrome.
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In: Brain communications, vol 2, iss 1 (2020)
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Measuring correlation-to-causation exaggeration in press releases ...
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Use of profession-role exchange in an interprofessional student team-based community health service-learning experience
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In: BMC Med Educ (2020)
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Decoding Imagined and Spoken Phrases From Non-invasive Neural (MEG) Signals
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A longitudinal study of infants' early speech production and later letter identification
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A neurophysiological model of speech production deficits in fragile X syndrome
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In: Brain Commun (2019)
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Additional file 1: of Dog vaccination with EgM proteins against Echinococcus granulosus ...
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Additional file 1: of Dog vaccination with EgM proteins against Echinococcus granulosus ...
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