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Mapping texts to multidimensional emotional space: Challenges for dataset acquisition in sentiment analysis

Описание

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Conference on Digital Transformation and Global Society, DTGS 2018

Год издания: 2018

Идентификатор DOI: 10.1007/978-3-030-02846-6_29

Ключевые слова: Amines, Geometry, Sentiment analysis, Emotional models, Explicit ratings, Labeled data, Methodological problems, Survey design, Three dimensional space, Data mining

Аннотация: The cornerstone for any sentiment analysis research is labeled data and its acquisition. Canonical corpuses for this task contain different reviews (movies, restaurants) where sentiment can be derived from reviewer’s explicit rating of a reviewed item. Ra

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Издание

Журнал: Communications in Computer and Information Science

Выпуск журнала: Vol. 859

Номера страниц: 361-367

ISSN журнала: 18650929

Издатель: Springer Verlag

Персоны

  • Kalinin A. (Siberian Federal University, 79 Svobodny pr., Krasnoyarsk, 660041, Russian Federation)
  • Kolmogorova A. (Siberian Federal University, 79 Svobodny pr., Krasnoyarsk, 660041, Russian Federation)
  • Nikolaeva G. (Siberian Federal University, 79 Svobodny pr., Krasnoyarsk, 660041, Russian Federation)
  • Malikova A. (Siberian Federal University, 79 Svobodny pr., Krasnoyarsk, 660041, Russian Federation)

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