JeSemE: A Website for Exploring Diachronic Changes in Word Meaning and Emotion
Johannes Hellrich, Sven Buechel, and Udo Hahn

TL;DR
JeSemE is an interactive website that visualizes how word meanings and emotions have evolved over time using large diachronic corpora, aiding humanities scholars in data-driven text interpretation.
Contribution
It introduces a significantly extended version of JeSemE, combining distributional semantics with emotion modeling for diachronic linguistic analysis.
Findings
Enables exploration of word meaning changes over time
Integrates emotion analysis with semantic shifts
Provides a user-friendly tool for humanities research
Abstract
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.
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Taxonomy
TopicsAdvanced Text Analysis Techniques · Sentiment Analysis and Opinion Mining · Authorship Attribution and Profiling
