A Hybrid Approach to Emotional Sentence Polarity and Intensity Classification
A Hybrid Approach to Emotional Sentence Polarity and Intensity Classification
复制标题
情感句子极性和强度分类的混合方法
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
Pablo Gervás
中科院分区：
文献类型：
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作者：
Jorge Carrillo de Albornoz;Laura Plaza;Pablo Gervás
在本文中，作者提出了一种新的方法来句子级的情感分析。其目的是确定一个句子是否表达了积极，消极或中性的情绪，以及它的强度。该方法对句子中的单词进行WSD，以处理概念而不是术语，并利用情感词典中的知识来用情感类别标记这些概念。本文还讨论了否定词和量词对极性和强度分析的影响。在两个不同的领域进行了广泛的评估，以确定该方法在2类（阳性和阴性），3类（阳性，阴性和中性）和5类（强阴性，弱阴性，中性，弱阳性和强阳性）分类任务中的表现。所获得的结果与其他系统解决类似的评价所取得的成绩相比毫不逊色。
In this paper, the authors present a new approach to sentence level sentiment analysis. The aim is to determine whether a sentence expresses a positive, negative or neutral sentiment, as well as its intensity. The method performs WSD over the words in the sentence in order to work with concepts rather than terms, and makes use of the knowledge in an affective lexicon to label these concepts with emotional categories. It also deals with the effect of negations and quantifiers on polarity and intensity analysis. An extensive evaluation in two different domains is performed in order to determine how the method behaves in 2-classes (positive and negative), 3-classes (positive, negative and neutral) and 5-classes (strongly negative, weakly negative, neutral, weakly positive and strongly positive) classification tasks. The results obtained compare favorably with those achieved by other systems addressing similar evaluations.