Starting with the idea that sentiment analysis models should be able to predict not only positive or negative but also other psychological states of a person, we implement a sentiment analysis model to investigate the relationship between the model and emotional state. We first examine psychological measurements of 64 participants and ask them to write a book report about a story. After that, we train our sentiment analysis model using crawled movie review data. We finally evaluate participants' writings, using the pretrained model as a concept of transfer learning. The result shows that sentiment analysis model performs good at predicting a score, but the score does not have any correlation with human's self-checked sentiment.
翻译:从情绪分析模型不仅能够预测一个人的正或负心理状态,而且能够预测一个人的其他心理状态的观点出发,我们实施一种情绪分析模型,调查模型与情绪状态之间的关系。我们首先研究64名参与者的心理测量结果,并请他们写一本关于故事的书。之后,我们用爬行的电影审查数据来培训我们的情绪分析模型。我们最后用预先训练的模型来评价参与者的著作,作为转移学习的概念。结果显示情绪分析模型在预测得分方面表现良好,但得分与人类自我检查的情绪没有任何关联。