Many approaches to sentiment analysis rely on lexica where words are tagged with their prior polarity - i.e. if a word out of context evokes something positive or something negative. In particular, broad-coverage resources like SentiWordNet provide polarities for (almost) every word. Since words can have multiple senses, we address the problem of how to compute the prior polarity of a word starting from the polarity of each sense and returning its polarity strength as an index between -1 and 1. We compare 14 such formulae that appear in the literature, and assess which one best approximates the human judgement of prior polarities, with both regression and classification models.

Assessing Sentiment Strength in Words Prior Polarities / Gatti, Lorenzo; Guerini, Marco. - (2012). ((Intervento presentato al convegno COLING tenutosi a Mumbai, India nel 8/12/2012.

Assessing Sentiment Strength in Words Prior Polarities

Lorenzo Gatti;Marco Guerini
2012

Abstract

Many approaches to sentiment analysis rely on lexica where words are tagged with their prior polarity - i.e. if a word out of context evokes something positive or something negative. In particular, broad-coverage resources like SentiWordNet provide polarities for (almost) every word. Since words can have multiple senses, we address the problem of how to compute the prior polarity of a word starting from the polarity of each sense and returning its polarity strength as an index between -1 and 1. We compare 14 such formulae that appear in the literature, and assess which one best approximates the human judgement of prior polarities, with both regression and classification models.
Proceedings of COLING 2012
Mumbai, India
The COLING 2012 Organizing Committee
Gatti, Lorenzo; Guerini, Marco
Assessing Sentiment Strength in Words Prior Polarities / Gatti, Lorenzo; Guerini, Marco. - (2012). ((Intervento presentato al convegno COLING tenutosi a Mumbai, India nel 8/12/2012.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11572/198548
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