Understanding consumer engagement with vertical farming brands on Twitter: An approach of guided Latent Dirichlet Allocation for topic modeling

Shao, Junqi

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University of Illinois at Urbana-Champaign

Understanding consumer engagement with vertical farming brands on Twitter: An approach of guided Latent Dirichlet Allocation for topic modeling

dc:creator Shao, Junqi

thesis:degree_name M.S.

dc:date2023

Abstract

dc:description

Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-12-04 without embargo terms

Degree

thesis:*

Name thesis:degree_name: M.S.
Level thesis:degree_level: Thesis
Discipline thesis:degree_discipline: Advertising
Grantor: University of Illinois at Urbana-Champaign
Year dc:date: 2023

Author and committee

dc:creator, dc:contributor.*

Author dc:creator: Shao, Junqi
Contributors dc:contributor: Su, Leona Yi-Fan

Subjects

dc:subject × 6

Rights

dc:rights

Language dc:language: en, eng

Identifiers

dc:identifier.*

Handle dc:identifier: https://hdl.handle.net/2142/121499
OAI identifier oai:identifier: oai:www.ideals.illinois.edu:2142/121499

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

Shao, Junqi. Understanding consumer engagement with vertical farming brands on Twitter: An approach of guided Latent Dirichlet Allocation for topic modeling. Thesis thesis, University of Illinois at Urbana-Champaign, 2023. https://hdl.handle.net/2142/121499

Understanding consumer engagement with vertical farming brands on Twitter: An approach of guided Latent Dirichlet Allocation for topic modeling

Abstract

Degree

Author and committee

Subjects

Rights

Identifiers

Chain of custody

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