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    • Gatti, Lorenzo (5)
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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 6 of 6 1 MEmoFC: introducing the Multilingual Emotional Football Corpus [<Journal>] Braun, Nadine [Verfasser]; Lee, Chris van der [Verfasser]; Gatti, Lorenzo [Verfasser]. DNB Subject Category Language Show details 2 The Multilingual Emotional Football Corpus (MEmoFC) ... Braun, Nadine; Van Der Lee, Chris; Gatti, Lorenzo. - : DataverseNL, 2019 BASE Show details 3 DepecheMood++: a Bilingual Emotion Lexicon Built Through Simple Yet Powerful Techniques ... Araque, Oscar; Gatti, Lorenzo; Staiano, Jacopo. - : arXiv, 2018 BASE Show details 4 Fortia-FBK at SemEval-2017 Task 5: Bullish or Bearish? Inferring Sentiment towards Brands from Financial News Headlines ... Mansar, Youness; Gatti, Lorenzo; Ferradans, Sira. - : arXiv, 2017 BASE Show details 5 SentiWords: Deriving a High Precision and High Coverage Lexicon for Sentiment Analysis ... Gatti, Lorenzo; Guerini, Marco; Turchi, Marco. - : arXiv, 2015 BASE Show details 6 Assessing Sentiment Strength in Words Prior Polarities ... Gatti, Lorenzo; Guerini, Marco. - : arXiv, 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. ... : To appear at Coling 2012 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/1212.4315 https://dx.doi.org/10.48550/arxiv.1212.4315 BASE Hide details

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