Public attitudes toward higher education using sentiment analysis and topic modeling

Public attitudes toward higher education using sentiment analysis and topic modeling

Abstract This study examines higher education through data-mining methodologies, aiming to uncover key themes and sentiments in global discourse. Utilizing sentiment analysis and topic modeling, the research analyzes 157,943 tweets from 84,423 unique users over a five-month period (January to May 20...

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Bibliographic Details
Main Authors: Ahmet Göçen, Mahat Maalim Ibrahim, Asad Ul Islam Khan
Format: Article
Language:English
Published: Springer 2024-11-01
Series:Discover Artificial Intelligence
Subjects:
Higher education
Text mining
Topic modeling
X/Twitter
Sentiment analysis
Artificial intelligence
Online Access:https://doi.org/10.1007/s44163-024-00195-4
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