A cutting-edge invited session during JSM 2021 on the topic of "Words and Insights via Text Analysis," jointly sponsored by the Text Analysis Interest Group, the Section on Statistical Learning and Data Science, and the Section on Statistical Computing, American Statistical Association.
The audience thoroughly enjoyed these presentations!
(1) Topic-Adjusted Visibility Metric for Scientific Articles by Tian Zheng et al.
https://ww2.amstat.org/meetings/jsm/2021/onlineprogram/AbstractDetails.cfm?abstractid=314490
(2) Measuring the Impact of Behavior Change Interventions Using Free-Text by Mike Baiocchi et al.
https://ww2.amstat.org/meetings/jsm/2021/onlineprogram/AbstractDetails.cfm?abstractid=316724
(3) Transfer Learning for Latent Dirichlet Allocation by Tommy Jones
https://ww2.amstat.org/meetings/jsm/2021/onlineprogram/AbstractDetails.cfm?abstractid=316726
What's new with TAIG (https://community.amstat.org/taig/home)? How would you like to foster text analysis ideas?
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Kelly H. Zou, PhD, PStat, ASA Fellow, Chair of TAIG (2021)
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