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