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arXiv12h ago
4.3

Proposing Topic Models and Evaluation Frameworks for Analyzing Associations with External Outcomes: An Application to Leadership Analysis Using Large-Scale Corporate Review Data

Yura Yoshida, Masato Kanai, Masataka Nakayama, Haruki Ohsawa, Yukiko Uchida, Arata Yuminaga, Gakuse Hoshina, Nobuo Sayama

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Analysis

Viral velocity
low
Implementation gapYES
Novelty5/10
Categorypaper
Topics
nlpdata-analysismodeling

Opportunity Brief

Build a lightweight library that implements interpretable topic modeling with strict polarity constraints. It should allow users to map text clusters directly to external performance metrics in corporate datasets.

Suggested repo: topicflow

"Stop guessing what your data says—map topics directly to business outcomes."

Estimated effort: 40h