← Search

Data · dataset · 2019

Labeled sentences from SEC 13D filings

Listed in Teesside University Research Data Repository

This dataset is used as the training and test set in the following study: Using LSTM Neural Networks to Analyze SEC 13D Filings: A Recipe for Human and Machine Interaction (Aydogdu, Saraoglu, Louton, Working Paper 2019)

Links

Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/j8znccy4mr.114 h agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].anzsrc:field:350202mapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Finance']
concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:economics-financemapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
descriptionsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/description
licensesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/rights
publication_datesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
titlesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/title