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Claremont Graduate University

Topic Modeling Location-Based Social Media Applications

Abstract

dc:description.abstract

<p>Topic modeling is a technique used in text analysis and mining across various research domains. The number of social media applications and users is increasing daily, and analyzing these data streams provides added value, relevance, and significance for both scholarly and practitioner communities. With increased users, the user-generated content grows, as do the value and information that are extracted from this data stream. The merging of analysis techniques for social media and text enables effective decision making in businesses, because it provides a communication-driven decision support system. This study focuses on combining machine learning and natural language processing techniques to investigate how time affects topics, as derived from tweets. It also examines the impact of observation and information on the decision-making process. The primary objectives of this dissertation were to develop an instantiation and to visualizes topics as derived from user-generated content on Twitter. The study also presents the results of a systematic literature review, which followed a hybrid methodology to illustrate various topic-modeling algorithms. The use of design science research methodology and CRISP-DM methodologies resulted in an instantiation artifact being developed. This served to visualize topic-modeling results using corpus periodization to observe topic-change detection as extracted from Twitter data feeds.</p>

Degree

thesis:*
Name thesis:degree_name
Information Systems and Technology, PhD
Level thesis:degree_level
Restricted to Claremont Colleges Dissertation
Discipline thesis:degree_discipline
Center for Information Systems and Technology
Year dc:date.available
2020

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Osailan, Sarah Yousif
Contributors dc:contributor
  • Anthony Corso
  • Lorne Olfman

Subjects

dc:subject × 6

Identifiers

dc:identifier.*
Repository record dc:identifier
https://scholarship.claremont.edu/cgu_etd/651
OAI identifier oai:identifier
oai:scholarship.claremont.edu:cgu_etd-1673

Chain of custody

source
Harvested from
Claremont Graduate University
Base URL
scholarship.claremont.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Osailan, Sarah Yousif. Topic Modeling Location-Based Social Media Applications. Restricted to Claremont Colleges Dissertation thesis, 2020. https://scholarship.claremont.edu/cgu_etd/651