Feasibility of a Neural Network as Classifier of Undecided Respondents in a Public Opinion Survey-Reference-Cited by-同舟云学术

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Feasibility of a Neural Network as Classifier of Undecided Respondents in a Public Opinion Survey

Published:2002-06-01 Issue:2 Volume:14 Page:222-229
ISSN:1353-4505
Container-title:International Journal of Public Opinion Research
language:
Short-container-title:

Author:

Monterola C.

Publisher

Oxford University Press (OUP)

Subject

Public Health, Environmental and Occupational Health,Health Policy,General Medicine

Link

http://academic.oup.com/ijpor/article-pdf/14/2/222/2134696/140222.pdf

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Neural Networks and Political Science: Testing the Methodological Frontiers;Empiria. Revista de metodología de ciencias sociales;2023-01-09

2. Analysis of Internet Public Opinion Popularity Trend Based on a Deep Neural Network;Computational Intelligence and Neuroscience;2022-07-06

3. Public deliberation on nuclear power plant construction: The impact of values, processes, and personal attributes;Journal of Cleaner Production;2022-06

4. Using Deep Learning as Prediction Model in Poll-Driven Social Science Applications;Advances in Intelligent Systems and Computing;2021

5. Modeling people’s anticipation for Cyprus peace mediation outcome using a neural model;Procedia Computer Science;2017

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