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8 datasets found
  1. Z

    Language Function Analysis 2011 Corpus (LFA-11)

    • data.niaid.nih.gov
    • live.european-language-grid.eu
    • +1more
    Updated Aug 29, 2022
    + more versions
  2. a

    Data from: ITGAL

    • alliancegenome.org
    Updated Nov 16, 2024
  3. b

    LFA-1 (CD11a-CD18) - BioCentury Target Profiles - BCIQ

    • profiles.biocentury.com
    Updated Aug 28, 2020

  4. IBSim Virtual Test Benchmark Data - Experiment Type: Thermal (LFA),...

    • zenodo.org
    • data.niaid.nih.gov
    Updated Jan 24, 2020
    + more versions
  5. a

    Data from: itgal

    • alliancegenome.org
    Updated Nov 13, 2024
  6. f

    Data_Sheet_1_Filamin A Phosphorylation at Serine 2152 by the...

    • frontiersin.figshare.com
    pdf
    Updated May 31, 2023
  7. e

    Retargeting from CR3 to the LFA-1 receptor uncovers the adenylyl cyclase...

    • ebi.ac.uk
    Updated Nov 24, 2024
  8. a

    CD2

    • alliancegenome.org
    Updated Nov 16, 2024

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Kathrin Bujna (2022). Language Function Analysis 2011 Corpus (LFA-11) [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_3244089

Language Function Analysis 2011 Corpus (LFA-11)

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Dataset updated
Aug 29, 2022
Dataset provided by
Kathrin Bujna
Henning Wachsmuth
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

The Language Function Analysis 2011 Corpus (LFA-11) is a German text corpus of promotional text, reviews and blog posts on music and smartphones. The texts were manually classified with respect to their topic relevance, language function, and sentiment polarity.

The purpose of the corpus is to provide textual data for the development and evaluation of approaches to language function analysis and sentiment analysis. Therefore, each text is classified by language function (personal, commercial, or informational) as well as by sentiment (positive, negative, neutral).

The corpus consists of two separated collections, which contain the texts about music and smartphones respectively. The music collection consists of 2,713 promotional texts and reviews from both users and professionals. The smartphone collection contains 2,093 blog posts on smartphones from the Spinn3r corpus.

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