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Data · dataset · 2026

Replication data for: From embedding geometry to topic quality: an analysis of dimensionality reduction in topic modeling pipelines

Listed in REDU - Unicamp Institutional Research Data Repository

This package contains the preprocessed datasets, along with the Jupyter notebooks used to run the experiments and analyze the results.

Description

The submission is organized into two files: File: SourceCode.zip – Jupyter notebooks (Python) for running the experiments and analyzing the results. File: Datasets.zip – CSV files for each dataset, already preprocessed as described in the paper, to support direct reuse and reproducibility.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Data management and data science 73%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
REDU - Unicamp Institutional Research Data Repositorydoi:10.25824/redu/GQGW6210 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:4605enrichment · redu unicamp brtaxonomy-embedding@1.1.0title+keywords+description (73%)
concepts[field].dataverse_subject:computer-and-information-sciencesource · redu unicamp brconnector:redu_unicamp_br@1.0.0/subjects
concepts[field].local:field:mathematics-statisticsmapping · redu unicamp brconnector:redu_unicamp_br@1.0.0/subjects
created_datesource · redu unicamp brconnector:redu_unicamp_br@1.0.0
descriptionsource · redu unicamp brconnector:redu_unicamp_br@1.0.0/description
publication_datesource · redu unicamp brconnector:redu_unicamp_br@1.0.0
titlesource · redu unicamp brconnector:redu_unicamp_br@1.0.0/name
updated_datesource · redu unicamp brconnector:redu_unicamp_br@1.0.0
version_labelsource · redu unicamp brconnector:redu_unicamp_br@1.0.0