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Granular Emotion Detection for Multi-class Sentiment Analysis in Social Media
Title
Granular Emotion Detection for Multi-class Sentiment Analysis in Social Media
Author
Frye, Robert
Date Created
2022
Subjects--Topical
Computer science
Description
Sentiment analysis for text classification generally refers to assessing the polarity of the emotional context of written text, whether in a binary (e.g. positive or negative) or trinary (e.g. positive, neutral, or negative) state. Granular emotio...
UNDERSTANDING SOCIAL MOVEMENTS THROUGH SIMULATIONS OF ANGER CONTAGION IN SOCIAL MEDIA
Title
UNDERSTANDING SOCIAL MOVEMENTS THROUGH SIMULATIONS OF ANGER CONTAGION IN SOCIAL MEDIA
Author
Bacaksizlar, Nazmiye
Date Created
2019
Subjects--Topical
Sociology, Information technology, System theory
Description
This dissertation investigates emotional contagion in social movements within social media platforms, such as Twitter. The main research question is: How does a protest behavior spread in social networks? The following sub-questions are: (a) What ...