Sentiment Compound Data (DE) (ICPSR doi:10.11588/data/LSTRK3)

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Part 1: Document Description
Part 2: Study Description
Part 5: Other Study-Related Materials
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Document Description

Citation

Title:

Sentiment Compound Data (DE)

Identification Number:

doi:10.11588/data/LSTRK3

Distributor:

heiDATA

Date of Distribution:

2019-09-05

Version:

1

Bibliographic Citation:

Wiegand, Michael; Bocionek, Christine; Ruppenhofer, Josef, 2019, "Sentiment Compound Data (DE)", https://doi.org/10.11588/data/LSTRK3, heiDATA, V1

Study Description

Citation

Title:

Sentiment Compound Data (DE)

Identification Number:

doi:10.11588/data/LSTRK3

Authoring Entity:

Wiegand, Michael (Spoken Language Systems, Saarland University (2010-2018), Leibniz Institute for the German Language (since 2019))

Bocionek, Christine (Spoken Language Systems, Saarland University)

Ruppenhofer, Josef (Leibniz Institute for the German Language)

Date of Production:

2016

Distributor:

heiDATA

Date of Distribution:

2019-09-05

Study Scope

Keywords:

Arts and Humanities, Computer and Information Science, sentiment, opinionrole extraction, opinion compounds, German

Topic Classification:

sentiment, compound-internal role labelling

Abstract:

This dataset contains gold standards that are required for building a classifier that automatically extracts opinion (noun) compounds.

Kind of Data:

textual data in tab-separated format

Methodology and Processing

Other Study-Related Materials

Label:

holderVsTarget.gold.txt

Notes:

text/plain

Other Study-Related Materials

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LICENSE

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

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README

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

README

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

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roleVsNoRole.gold.txt

Notes:

text/plain

Other Study-Related Materials

Label:

sentimentViewsOfOpinionNouns.txt

Notes:

text/plain

Other Study-Related Materials

Label:

supplementaryNotes.pdf

Notes:

application/pdf