  We here introduce a substantially extended version of JeSemE, an interactive
website for visually exploring computationally derived time-variant information
on word meanings and lexical emotions assembled from five large diachronic text
corpora. JeSemE is designed for scholars in the (digital) humanities as an
alternative to consulting manually compiled, printed dictionaries for such
information (if available at all). This tool uniquely combines state-of-the-art
distributional semantics with a nuanced model of human emotions, two
information streams we deem beneficial for a data-driven interpretation of
texts in the humanities.
