What can natural language processing tell management teams about the priorities of their employees? Do assumptions built over time more often lead to successful or unsuccessful outcomes? Does a speaker's choice of words carry more weight for their audience than the substance of what they're saying? Pointing to new developments in linguistics analysis and computational learning, professors Sameer Srivastava at UC Berkeley and Amir Goldberg at Stanford deliver some cutting-edge insights.