By Henrik Boström, Arno Knobbe, Carlos Soares, Panagiotis Papapetrou
This ebook constitutes the refereed convention lawsuits of the fifteenth foreign convention on clever information research, which was once held in October 2016 in Stockholm, Sweden.
The 36 revised complete papers provided have been rigorously reviewed and chosen from seventy five submissions. the normal concentration of the IDA symposium sequence is on end-to-end clever aid for facts research. The symposium goals to supply a discussion board for uplifting examine contributions that would be thought of initial in different major meetings and journals, yet that experience a in all probability dramatic influence.
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Extra resources for Advances in Intelligent Data Analysis XV: 15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016, Proceedings
The next step was to manually label a random selection of 2000 Tweets with the correct moral foundation. The codes were initially based on the MFD, where related words and synonyms were used to guide classiﬁcation. Beginning with a dictionary-based approach was useful in order to obtain a more tangible picture of lexical indicators for each of the foundations. However, since the MFD didn’t include liberty, a list of synonyms for this foundation was created. Then, detailed descriptions of each of the foundations were used to better understand the nuances in each foundation, as outlined in the work of Graham et al.
The public discussion frequently centers on the foundation of care, referring to helping Greece with extensions or bailouts. Loyalty was indeed more present than fairness, but clearly care and authority were salient moral foundations especially in data sets 2 and 3. 5 Discussion The results show that the NB classiﬁer is a good starting point for attributing moral foundations to Tweets. The three most accurately classiﬁed foundations 36 L. Teernstra et al. (care, authority and sanctity) agree with previous research .
The moral foundation which drives opinions can stem from society at large, smaller communities, or individual moral preferences. As such, this study asserts no preference for a speciﬁc moral standpoint, as its main focus is learning to classify Grexit Tweets into moral foundations, as a case study for empirical ethics. Also by deﬁnition a framework is framed by an underlying theory, which should not be seen as objective or value free. MFT provides a useful framework to distinguish ethical statements, but we do not want to imply it is the only valid one.