论文标题
通过“房间理论”实现主观性的计算模型。从文本中检测情绪的情况
A computational model implementing subjectivity with the 'Room Theory'. The case of detecting Emotion from Text
论文作者
论文摘要
这项工作引入了一种新方法，以考虑文本分析中的主观性和一般环境依赖性，并将其用作文本中传达的情绪的检测。该方法使用Marvin Minsky（1974）的框架理论的计算版本考虑了主观性，该框架理论利用了Mikolov等人的文本矢量化方法。 （2013年），用于根据其出现的上下文生成单词的分布式表示。我们的方法基于三个组成部分：1。代表观点的框架/“房间”； 2。代表分析标准的基准 - 在这种情况下，情感分类，从罗伯特·普拉奇克（Robert Plutchik）（1980）对人类情感的研究。和3。要分析的文档。通过使用单词之间的相似性度量，我们能够在基准中提取元素在案例研究中的情绪强度的相对相关性，以进行分析。我们的方法提供了一种考虑到读取文档的实体的观点的措施。该方法可以应用于评估主观性与了解文本的相对价值或含义相关的所有情况。主观性不仅限于人类反应，但可以用来提供具有与给定领域有关的解释的文本（“房间”）。为了评估我们的方法，我们在政治领域使用了测试案例。
This work introduces a new method to consider subjectivity and general context dependency in text analysis and uses as example the detection of emotions conveyed in text. The proposed method takes into account subjectivity using a computational version of the Framework Theory by Marvin Minsky (1974) leveraging on the Word2Vec approach to text vectorization by Mikolov et al. (2013), used to generate distributed representation of words based on the context where they appear. Our approach is based on three components: 1. a framework/'room' representing the point of view; 2. a benchmark representing the criteria for the analysis - in this case the emotion classification, from a study of human emotions by Robert Plutchik (1980); and 3. the document to be analyzed. By using similarity measure between words, we are able to extract the relative relevance of the elements in the benchmark - intensities of emotions in our case study - for the document to be analyzed. Our method provides a measure that take into account the point of view of the entity reading the document. This method could be applied to all the cases where evaluating subjectivity is relevant to understand the relative value or meaning of a text. Subjectivity can be not limited to human reactions, but it could be used to provide a text with an interpretation related to a given domain ("room"). To evaluate our method, we used a test case in the political domain.
