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| 1.96 MB | Adobe PDF |
Autores
Orientador(es)
Resumo(s)
This study examines meme engagement on Reddit via a multi-faceted approach that
incorporates sentiment analysis, machine learning, computer vision, generative AI. The
analysis at hand focuses specifically on predicting engagement by means of linear regression,
logistic regression, random forests, and deep learning—exploiting textual characteristics,
metadata, and log-transformed metrics. Taken together, these approaches shed light on why
memes go viral: illustrating the interplay between textual, visual, and user-driven dynamics on
Reddit's r/memes subreddit.
Descrição
Palavras-chave
Reddit Memes Machine learning Classification Regression Python Predictive models Data science
