Clustering and Visualising Documents using Word Embeddings
Year: 2023
Type: article
Abstract: 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.
Source: The Programming Historian
DOI: 10.46430/phen0111
Authors: Jonathan Reades, Jennie Williams
Language: English
Subfield: General Social Sciences
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4385754381