William Baker Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

University of Arkansas at Fayetteville

grad_student

1 h-index 2 pubs 19 cited

Research Areas

Natural Language Processing Techniques Advanced Neural Network Applications Media Studies and Communication Behavioral and Psychological Studies Substance Abuse Treatment and Outcomes Technology Adoption and User Behaviour

Links

ORCID Lab Website

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OverviewAI-generated summary

William Baker's research focuses on the application of advanced machine learning techniques to analyze social media discourse, specifically concerning vaping behaviors. His work involves utilizing natural language processing models to classify and understand conversations on platforms like Twitter. Baker has published research on the classification of Twitter vaping discourse using BERTweet, a comparative deep learning study that was also published as a preprint. He has a h-index of 1 with two publications and 19 citations. Baker collaborates with Page D. Dobbs and Huy Mai at the University of Arkansas at Fayetteville, with whom he shares two co-authored publications. His recent activity indicates ongoing engagement in this research area.

Metrics

h-index: 1
Publications: 2
Citations: 19

Selected Publications

Classification of Twitter Vaping Discourse Using BERTweet: Comparative Deep Learning Study (2022) DOI
Classification of Twitter Vaping Discourse Using BERTweet: Comparative Deep Learning Study (Preprint) (2021) DOI