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Connection

Thomas Heinbockel to Natural Language Processing

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This is a "connection" page, showing publications Thomas Heinbockel has written about Natural Language Processing.
Thomas Heinbockel
Connection Strength
0.241
Natural Language Processing
  1. Menger NS, Tognetti A, Farruggia MC, Mucignat C, Bhutani S, Cooper KW, Rohlfs Dom?nguez P, Heinbockel T, Shields VDC, D'Errico A, Pereda-Loth V, Pierron D, Koyama S, Croijmans I. Giving a Voice to Patients With Smell Disorders Associated With COVID-19: Cross-Sectional Longitudinal Analysis Using Natural Language Processing of Self-Reports. JMIR Public Health Surveill. 2024 May 10; 10:e47064.
    View in: PubMed
    Score: 0.241
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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