  Keyword extraction is a task of text mining. It is applied to increase search
volume in SEO and ads. Implemented in auto-tagging, it makes tagging on a mass
scale of online articles and photos efficiently and accurately. BAT is invented
for auto-tagging which served as awoo's AI marketing platform (AMP). awoo AMP
not only provides service as a customized recommender system but also increases
the converting rate in E-commerce. The strength of BAT converges faster and
better than other SOTA models, as its 4-layer structure achieves the best F
scores at 50 epochs. In other words, it performs better than other models which
require deeper layers at 100 epochs. To generate rich and clean tags, awoo
creates new objective functions to maintain similar ${\rm F_1}$ scores with
cross-entropy while enhancing ${\rm F_2}$ scores simultaneously. To assure the
even better performance of F scores awoo revamps the learning rate strategy
proposed by Transformer \cite{Transformer} to increase ${\rm F_1}$ and ${\rm
F_2}$ scores at the same time.
