University of Huddersfield Repository A Consensus Approach to the Sentiment Analysis Problem Driven by Support-Based IOWA Majority
University of Huddersfield Repository A Consensus Approach to the Sentiment Analysis Problem Driven by Support-Based IOWA Majority
复制标题
DOI：
--
复制
发表时间：
--
期刊：
影响因子：
--
通讯作者：
Orestes Appel;Hamido Fujita;Orestes Appel;F. Chiclana;Jenny Carter
中科院分区：
文献类型：
--
作者：
Orestes Appel;Hamido Fujita;Orestes Appel;F. Chiclana;Jenny Carter
在群体决策中，大多数参与者的意见是关键的。这种情况可能是多种多样的，比如一些医生在诊断疾病时发现了共性，或者议会成员正在寻求就通过的具体法律达成共识。在这篇文章中，我们提出了一种方法，利用诱导有序加权平均（爱荷华州）运营商聚合的大多数意见，从一些情绪分析（SA）分类系统，后者占据的角色通常由人类决策者通常看到在群体决策的情况。在这种情况下，不同SA分类方法的数值输出被用作特定爱荷华州运算符的输入，该运算符在语义上接近模糊语言量化器“most of”。聚合的对象将是先前确定的句子极性的强度，以这种方式，结果代表大多数人的想法。在实验阶段，使用爱荷华州算子加上语言量化器“most”（爱荷华州most）被证明产生了上级的结果，而当需要某种平均值时，使用其他常用的技术，如算术平均值或中位数技术。
In group decision-making there are many situations where the opinion of the majority of participants is critical. The scenarios could be multiple, like a number of doctors finding commonality on the diagnose of an illness or parliament members looking for consensus on an specific law being passed. In this article we present a method that utilises Induced Ordered Weighted Averaging (IOWA) operators to aggregate a majority opinion from a number of Sentiment Analysis (SA) classification systems, where the latter occupy the role usually taken by human decision-makers as typically seen in group decision situations. In this case, the numerical outputs of different SA classification methods are used as input to a specific IOWA operator that is semantically close 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 represents what the majority think. During the experimental phase, the use of the IOWA operator coupled with the linguistic quantifier ‘most’ (IOWA most ) proved to yield superior results compared to those achieved when utilising other techniques commonly applied when some sort of averaging is needed, such as arithmetic mean or median techniques.