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Data · dataset · 2024

"Research on Fusion Method of Paper and Patent Data Based on Deep Text Clustering" annotated dataset and classification results dataset

Listed in ScienceDB

The annotated data set is the statistical information of the annotated corpus in this study, counting the number of annotated papers and patents belonging to the subcategory.

Description

The classification results data set is the classification details of the paper's research results, representing the sub-topics of each sub-category.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Linguistics 69% · Text 75%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.1692311 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:4704enrichment · scidb cntaxonomy-embedding@1.0.0title+keywords+description (69%)
concepts[field].local:field:earth-environmentalmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:engineeringmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:humanitiesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:life-sciencesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:social-sciencemapping · scidb cnconnector:scidb_cn@1.0.0
concepts[modality].local:modality:textenrichment · scidb cnkeyword-concept-rules@1.0.0title+description (75%)
descriptionsource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/description
license_textsource · scidb cnconnector:scidb_cn@1.0.0
publication_datesource · scidb cnconnector:scidb_cn@1.0.0
titlesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/title