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Data · dataset · 2025

Experimental results of semantic similarity methods

Listed in Teesside University Research Data Repository

This dataset collects data used for the comparison of the following seven semantic similarity methods: 1.

Description

SemSimp with a manual taxonomy and human-annotated documents. 2. SemSimAI with an automatic taxonomy and automatically annotated documents using BERTopic. 3.

SemSimAI with an automatic taxonomy and automatically annotated documents using recursive k-means clustering with Word2Vec embeddings. 4. SemSimAI with an automatic taxonomy and automatically annotated documents using recursive k-means clustering with TF-IDF vectors. 5. Cosine similarity with document representations from TF-IDF vectors. 6.

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Cosine similarity with document representations from BERT embeddings. 7. Cosine similarity with document representations from Word2Vec embeddings.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Linguistics 74%
Provenance · 1 source records, 11 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/9vg9tr6xvm.112 d agoJSON v1
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concepts[field].anzsrc:group:4704enrichment · researchdata tees ac uktaxonomy-embedding@1.0.0title+keywords+description (74%)
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