Kompetenzstufe: Fortgeschrittene*r
Sprache: Englisch
Format: Tutorial
Medientyp: Bildmedien, Datensatz, Textmedien
Veröffentlichung: 05.05.2020
Modifizert am: 15.01.2025
ID:
® 10.46430/phen0089
Understanding and Using Common Similarity Measures for Text Analysis
John R. Ladd
This lesson introduces three common measures for determining how similar texts are to one another: city block distance, Euclidean distance, and cosine distance. You will learn the general principles behind similarity, the different advantages of these measures, and how to calculate each of them using the SciPy Python library.
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