Kompetenzstufe: Fortgeschrittene*r

Sprache: Englisch

Format: Code, Jupyter Notebook, Tutorial

Medientyp: Textmedien, Interaktive Medien, Code Snippets

Veröffentlichung: 31.01.2024

Modifizert am: 31.01.2024

ID: ® 10.46430/phen0116

Understanding and Creating Word Embeddings

Avery Blankenship, Sarah Connell, Quinn Dombrowski

Analyzing

Content Analysis

Machine Learning

Co-Occurrence

Algorithmus

Programmierung

Data Literacy

Data Mining

Datensatz

Word embeddings allow you to analyze the usage of different terms in a corpus of texts by capturing information about their contextual usage. Through a primarily theoretical lens, this lesson will teach you how to prepare a corpus and train a word embedding model. You will explore how word vectors work, how to interpret them, and how to answer humanities research questions using them.

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Creative Commons Attribution 4.0 International (CC-BY-4.0)

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