Pilot A/B test with 216 participants finds academic titles modified via NLP for novelty, familiarity, and emotionality score higher on user engagement measures than originals.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Systematic improvement of user engagement with academic titles using computational linguistics
Pilot A/B test with 216 participants finds academic titles modified via NLP for novelty, familiarity, and emotionality score higher on user engagement measures than originals.