Volltext-Downloads (blau) und Frontdoor-Views (grau)

MLSA – A Multi-layered Reference Corpus for German Sentiment Analysis

  • In this paper, we describe MLSA, a publicly available multi-layered reference corpus for German-language sentiment analysis. The construction of the corpus is based on the manual annotation of 270 German-language sentences considering three different layers of granularity. The sentence-layer annotation, as the most coarse-grained annotation, focuses on aspects of objectivity, subjectivity and the overall polarity of the respective sentences. Layer 2 is concerned with polarity on the word- and phrase-level, annotating both subjective and factual language. The annotations on Layer 3 focus on the expression-level, denoting frames of private states such as objective and direct speech events. These three layers and their respective annotations are intended to be fully independent of each other. At the same time, exploring for and discovering interactions that may exist between different layers should also be possible. The reliability of the respective annotations was assessed using the average pairwise agreement and Fleiss’ multi-rater measures. We believe that MLSA is a beneficial resource for sentiment analysis research, algorithms and applications that focus on the German language.

Export metadata

Additional Services

Share in Twitter Search Google Scholar


Author:Simon Clematide, Stefan Grindl, Manfred Klenner, Stefanos Petrakis, Robert Remus, Josef RuppenhoferGND, Ulli WaltingerGND, Michael Wiegand
Parent Title (English):Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12). Istanbul, Turkey
Publisher:European Language Resources Association
Document Type:Conference Proceeding
Year of first Publication:2012
Date of Publication (online):2016/09/02
MLSA; sentiment analysis
GND Keyword:Deutsch; Korpus <Linguistik>
First Page:3551
Last Page:3556
DDC classes:400 Sprache / 410 Linguistik
Open Access?:ja
Licence (German):License LogoUrheberrechtlich geschützt