DE eng

Search in the Catalogues and Directories

Page: 1 2 3
Hits 1 – 20 of 57

1
Chinese Word Segmentation with Heterogeneous Graph Neural Network ...
Tang, Xuemei; Wang, Jun; Su, Qi. - : arXiv, 2022
BASE
Show details
2
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
In: Front Psychiatry (2022)
BASE
Show details
3
A Novel Interval-Valued q-Rung Dual Hesitant Linguistic Multi-Attribute Decision-Making Method Based on Linguistic Scale Functions and Power Hamy Mean
In: Entropy (Basel) (2022)
BASE
Show details
4
As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical Translation ...
BASE
Show details
5
Detecting Health Advice in Medical Research Literature ...
BASE
Show details
6
Putting words into the system's mouth: A targeted attack on neural machine translation using monolingual data poisoning ...
BASE
Show details
7
A General Framework for Learning Prosodic-Enhanced Representation of Rap Lyrics ...
BASE
Show details
8
Word Distance Affects Subjective Temporal Distance
In: Front Psychol (2021)
BASE
Show details
9
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/
BASE
Hide details
10
Impaired Interhemispheric Synchrony in Bronchial Asthma
In: Int J Gen Med (2021)
BASE
Show details
11
Two Distinct Clinical Phenotypes of Bulbar Motor Impairment in Amyotrophic Lateral Sclerosis
In: Front Neurol (2021)
BASE
Show details
12
Multiple attribute group decision-making based on interval-valued q-rung orthopair uncertain linguistic power Muirhead mean operators and linguistic scale functions
In: PLoS One (2021)
BASE
Show details
13
A neurophysiological model of speech production deficits in fragile X syndrome.
In: Brain communications, vol 2, iss 1 (2020)
BASE
Show details
14
Measuring correlation-to-causation exaggeration in press releases ...
BASE
Show details
15
Use of profession-role exchange in an interprofessional student team-based community health service-learning experience
In: BMC Med Educ (2020)
BASE
Show details
16
Decoding Imagined and Spoken Phrases From Non-invasive Neural (MEG) Signals
Dash, Debadatta; Ferrari, Paul; Wang, Jun. - : Frontiers Media S.A., 2020
BASE
Show details
17
A longitudinal study of infants' early speech production and later letter identification
Hoffman, Lesa; Green, Kimber F.; Farquharson, Kelly. - : Public Library of Science, 2020
BASE
Show details
18
A neurophysiological model of speech production deficits in fragile X syndrome
In: Brain Commun (2019)
BASE
Show details
19
Additional file 1: of Dog vaccination with EgM proteins against Echinococcus granulosus ...
Zhang, Zhuang-Zhi; Guo, Gang; Li, Jun. - : figshare, 2018
BASE
Show details
20
Additional file 1: of Dog vaccination with EgM proteins against Echinococcus granulosus ...
Zhang, Zhuang-Zhi; Guo, Gang; Li, Jun. - : figshare, 2018
BASE
Show details

Page: 1 2 3

Catalogues
0
0
9
0
0
0
0
Bibliographies
1
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
47
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern