  Semantic shifts can reflect changes in beliefs across hundreds of years, but
it is less clear whether trends in fast-changing communities across a short
time can be detected. We propose semantic coordinates analysis, a method based
on semantic shifts, that reveals changes in language within publications of a
field (we use AI as example) across a short time span. We use GloVe-style
probability ratios to quantify the shifting directions and extents from
multiple viewpoints. We show that semantic coordinates analysis can detect
shifts echoing changes of research interests (e.g., "deep" shifted further from
"rigorous" to "neural"), and developments of research activities (e,g.,
"collaboration" contains less "competition" than "collaboration"), based on
publications spanning as short as 10 years.
