Kompetenzstufe: Fortgeschrittene*r
Sprache: Englisch
Format: Tutorial, Jupyter Notebook, Code, Tabelle
Medientyp: Bildmedien, Textmedien, Code Snippets
Veröffentlichung: 09.08.2023
Modifizert am: 14.03.2024
ID: 
® 10.46430/phen0111
Clustering and Visualising Documents using Word Embeddings
Jonathan Reades
, Jennie Williams
Analyzing
Relational Analysis
Visual Analysis
Cluster Analysis
Data Visualization
Algorithmus
Data Literacy
Programmierung
This lesson uses word embeddings and clustering algorithms in Python to identify groups of similar documents in a corpus of approximately 9,000 academic abstracts. It will teach you the basics of dimensionality reduction for extracting structure from a large corpus and how to evaluate your results.
Diese Ressource steht unter folgender Lizenz:
