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University of Illinois Urbana-Champaign

Using text mining and other big data analytics to analyze public discussion of novel food technologies, using cultured meat as an example

dc:creator Chen, Tianli

thesis:degree_name Ph.D.

dc:date2025

Abstract

dc:description

Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2027-05-01

Degree

thesis:*

Name thesis:degree_name: Ph.D.
Level thesis:degree_level: Dissertation
Discipline thesis:degree_discipline: Food Science & Human Nutrition
Grantor: University of Illinois Urbana-Champaign
Year dc:date: 2025

Author and committee

dc:creator, dc:contributor.*

Author dc:creator: Chen, Tianli
Contributors dc:contributor: Su, Leona Yi-Fan
Schmidt, Shelly J
Stasiewicz, Matthew Jon
Ng, Margaret Yee Man
Wang, Yi-Cheng

Subjects

dc:subject × 4

Rights

dc:rights

Statement dc:rights: Copyright 2025 Tianli Chen
Language dc:language: en, eng

Identifiers

dc:identifier.*

Handle dc:identifier: https://hdl.handle.net/2142/129722
OAI identifier oai:identifier: oai:www.ideals.illinois.edu:2142/129722

Chain of custody

source

Harvested from: University of Illinois - Urbana-Champaign
Base URL: www.ideals.illinois.edu/oai-pmh
Last updated: 2026-07-22
Source record: OAI-PMH GetRecord

related terms

citation

Chen, Tianli. Using text mining and other big data analytics to analyze public discussion of novel food technologies, using cultured meat as an example. Dissertation thesis, University of Illinois Urbana-Champaign, 2025. https://hdl.handle.net/2142/129722

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