English

Psychological State in Text: A Limitation of Sentiment Analysis

Computation and Language 2018-06-05 v1 Artificial Intelligence

Abstract

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.

Keywords

Cite

@article{arxiv.1806.00754,
  title  = {Psychological State in Text: A Limitation of Sentiment Analysis},
  author = {Hwiyeol Jo and Jeong Ryu},
  journal= {arXiv preprint arXiv:1806.00754},
  year   = {2018}
}

Comments

In Proceedings of IJCAI-ECAI Workshop on AI and Computational Psychology: Theories, Algorithms and Applications (CompPsy)