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Träfflista för sökning "hsv:(HUMANIORA) hsv:(Språk och litteratur) ;pers:(Borin Lars 1957)"

Sökning: hsv:(HUMANIORA) hsv:(Språk och litteratur) > Borin Lars 1957

  • Resultat 1-10 av 138
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1.
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3.
  • Hammarstedt, Martin, et al. (författare)
  • Sparv 5 Developer’s Guide
  • 2022
  • Rapport (övrigt vetenskapligt/konstnärligt)abstract
    • The Sparv Pipeline developed by Språkbanken Text is a text analysis tool run from the command line. This Developer’s Guide describes its general structure and key concepts and serves as an API documentation. Most importantly, it describes how to write plugins for Sparv 5 so that you can add your own functions to the toolkit.
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4.
  • Hammarstedt, Martin, et al. (författare)
  • Sparv 5 User Manual
  • 2022
  • Rapport (övrigt vetenskapligt/konstnärligt)abstract
    • The Sparv Pipeline developed by Språkbanken Text is a text analysis tool run from the command line. This user manual describes how to get Sparv 5 up and running on your own machine, how to configure it and how to use it for annotating your own corpora.
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5.
  • Rouces, Jacobo, 1985, et al. (författare)
  • Generating a Gold Standard for a Swedish Sentiment Lexicon
  • 2018
  • Ingår i: LREC 2018, Eleventh International Conference on Language Resources and Evaluation, May 7-12, 2018, Miyazaki (Japan). - Miyazaki : ELRA. - 9791095546009
  • Konferensbidrag (refereegranskat)abstract
    • We create a gold standard for sentiment annotation of Swedish terms, using the freely available SALDO lexicon and the Gigaword corpus. For this purpose, we employ a multi-stage approach combining corpus-based frequency sampling, direct score annotation and Best-Worst Scaling. In addition to obtaining a gold standard, we analyze the data from our process and we draw conclusions about the optimal sentiment model.
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6.
  • Rouces, Jacobo, 1985, et al. (författare)
  • SenSALDO: Creating a Sentiment Lexicon for Swedish
  • 2018
  • Ingår i: LREC 2018, Eleventh International Conference on Language Resources and Evaluation, 7-12 May 2018, Miyazaki (Japan). - Miyazaki : ELRA. - 9791095546009
  • Konferensbidrag (refereegranskat)abstract
    • The natural language processing subfield known as sentiment analysis or opinion mining has seen an explosive expansion over the last decade or so, and sentiment analysis has become a standard item in the NLP toolbox. Still, many theoretical and methodological questions remain unanswered and resource gaps unfilled. Most work on automated sentiment analysis has been done on English and a few other languages; for most written languages of the world, this tool is not available. This paper describes the development of an extensive sentiment lexicon for written (standard) Swedish. We investigate different methods for developing a sentiment lexicon for Swedish. We use an existing gold standard dataset for training and testing. For each word sense from the SALDO Swedish lexicon, we assign a real value sentiment score in the range [-1,1] and produce a sentiment label. We implement and evaluate three methods: a graph-based method that iterates over the SALDO structure, a method based on random paths over the SALDO structure and a corpus-driven method based on word embeddings. The resulting sense-disambiguated sentiment lexicon (SenSALDO) is an open source resource and freely available from Språkbanken, The Swedish Language Bank at the University of Gothenburg.
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  • Rouces, Jacobo, 1985, et al. (författare)
  • Defining a gold standard for a Swedish sentiment lexicon: Towards higher-yield text mining in the digital humanities
  • 2018
  • Ingår i: CEUR Workshop Proceedings vol. 2084. Proceedings of the Digital Humanities in the Nordic Countries 3rd Conference Helsinki, Finland, March 7-9, 2018. Edited by Eetu Mäkelä Mikko Tolonen Jouni Tuominen. - Helsinki : University of Helsinki, Faculty of Arts. - 1613-0073.
  • Konferensbidrag (refereegranskat)abstract
    • There is an increasing demand for multilingual sentiment analysis, and most work on sentiment lexicons is still carried out based on English lexicons like WordNet. In addition, many of the non-English sentiment lexicons that do exist have been compiled by (machine) translation from English resources, thereby arguably obscuring possible language-specific characteristics of sentiment-loaded vocabulary. In this paper we describe the creation from scratch of a gold standard for the sentiment annotation of Swedish terms as a first step towards the creation of a full-fledged sentiment lexicon for Swedish.
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