William Baker Data-verified

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

Researcher

University of Arkansas
Last publication 2022 Last refreshed 2026-05-16

grad_student

1 h-index 2 pubs 19 cited

Research Areas

Links

ORCID Lab Website

OverviewAI-generated summary

William Baker's research focuses on the application of natural language processing techniques to analyze online discourse. His work includes the classification of Twitter discussions related to vaping, utilizing deep learning models such as BERTweet. Baker has investigated the comparative performance of these models in categorizing this specific type of online communication.

His scholarly output includes two publications, with one appearing in 2022 and a preprint from 2021. Baker's research network includes collaborators Page D. Dobbs and Huy Mai, both affiliated with the University of Arkansas at Fayetteville, with whom he shares two co-authored publications. His academic profile is marked by an h-index of 1 and a total of 19 citations across his published works.

Metrics

  • h-index: 1
  • Publications: 2
  • Citations: 19

Selected Publications

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

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Collaboration Network

6 Collaborators 3 Institutions 1 Country

Top Collaborators

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