Consensus in Sentiment Analysis

التفاصيل البيبلوغرافية
العنوان: Consensus in Sentiment Analysis
المؤلفون: Appel, Orestes, Chiclana, Francisco, Carter, Jenny, Fujita, Hamido
بيانات النشر: Springer International Publishing
سنة النشر: 2021
مصطلحات موضوعية: Sentiment analysis Consensus Majority support Sentiment aggregation Ordered weighted averaging OWA Induced ordered weighted averaging, Sentiment analysis, Consensus Majority support, Sentiment aggregation, Ordered weighted averaging, OWA Induced ordered weighted averaging, manag, eco
الوصف: The objective of this chapter is to present a method applicable in group decision-making where computing the opinion of the majority of participants is key. In this article, we present a method that makes use of Induced Ordered Weighted Averaging (IOWA) operators to aggregate a majority opinion out of a number of Sentiment Analysis (SA) classification systems. The numerical output of each SA classification method is used as input to a carefully chosen IOWA operator that is semantically equivalent to the fuzzy linguistic quantifier ‘most of’. The object of the aggregation will be the intensity of the previously determined sentence polarity in such a way that the results represent what the majority thinks.
نوع الوثيقة: book part
اللغة: English
Relation: https://dora.dmu.ac.uk/handle/2086/20823
الاتاحة: https://dora.dmu.ac.uk/handle/2086/20823
Rights: undefined
رقم الانضمام: edsbas.A387D3B0
قاعدة البيانات: BASE