A Novel Methodology for Improving Applications of Modern Predictive Modeling Techniques to Linked Data Sets Subject to Mismatch Error-Reference-Cited by-同舟云学术

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A Novel Methodology for Improving Applications of Modern Predictive Modeling Techniques to Linked Data Sets Subject to Mismatch Error

Published:2023-10-26 Issue: Volume:19 Page:1-8
ISSN:
Container-title:2023 Big Data Meets Survey Science (BigSurv)
language:
Short-container-title:

Author:

Ben-David Emanuel¹,West Brady T.²,Slawski Martin³

Affiliation:

1. Center for Statistical Research & Methodology U.S. Census Bureau,Washington, District of Columbia,USA

2. University of Michigan,Institute for Social Research,Ann Arbor,Michigan,USA

3. George Mason University,Department of Statistics,Fairfax,Virginia,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10486053/10486278/10486610.pdf?arnumber=10486610

Reference33 articles.

1. Social big data: Recent achievements and new challenges

2. Social media big data analytics: A survey

3. Sentiment analysis of Twitter data;Agarwal

4. Using Twitter for Demographic and Social Science Research: Tools for Data Collection and Processing

5. Social Media in Public Opinion Research: Executive Summary of the Aapor Task Force on Emerging Technologies in Public Opinion Research

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