Abstract
This paper focuses on the impressions that people get from reading articles in newspapers. We have already proposed web application systems that extract and use several types of impressions from news articles. However, the types of impressions extracted and used in these systems were intuitively defined by us on the basis of a basic emotion model, which the well-known psychologist Robert Plutchik proposed to represent human emotions. That is, the characteristics of news articles that result in different impressions have not been taken into consideration in much detail. Therefore, we have tried to design one or more impression scales suitable for assessing impressions generated by news articles. First, we conducted nine experiments in each of which 100 people read ten news articles and indicated their impressions on 42 five-point scales, where 42 impression-related words such as “happy” and “strained” were assigned for the 42 scales. Consequently, we obtained impression-estimation data for the 42 impression-related words. Next, we applied factor and cluster analysis to these impression-estimation data, and analyzed similarities among the impression-related words in terms of their scores. In our results, the words that convey similar impressions are classified into a single group and the words that convey opposite impressions are classified into different groups of words. Finally, we designed six impression scales suitable for assessing impressions generated by news articles on the basis of these results, each of which consisted of two contrasting groups of impression-related words.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Picard, R.W.: Affective Computing. MIT Press, Cambridge (1997)
Massaro, D.W.: Perceiving Talking Faces: From Speech Perception to a Behavioral Principle. MIT Press, USA (1998)
Bartneck, C.: How Convincing Is Mr. Data’s Smile: Affective Expressions of Machines. User Modeling and User-Adapted Interaction 11, 279–295 (2001)
Kumamoto, T., Ohta, K.: A Query by Musical Impression System using N-gram Based Features. In: Proc. of IEEE Conference on Cybernetics and Intelligent Systems, pp. 992–997 (2004)
Kumamoto, T.: Design and Evaluation of a Music Retrieval Scheme that Adapts to the User’s Impressions. In: Ardissono, L., Brna, P., Mitrović, A. (eds.) UM 2005. LNCS (LNAI), vol. 3538, pp. 287–296. Springer, Heidelberg (2005)
Kurita, T., Kato, T., Fukuda, I., Sakakura, A.: Sense Retrieval on an Image Database of Full Color Paintings. Trans. Information Processing Society of Japan 33(11), 1373–1383 (1992)
Kumamoto, T., Tanaka, K.: Proposal of Impression Mining from News Articles. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds.) KES 2005. LNCS (LNAI), vol. 3681, pp. 901–910. Springer, Heidelberg (2005)
Kumamoto, T., Nadamoto, A., Tanaka, K.: Automatic Generation of Computer Animation Conveying Impressions of News Articles. In: Lovrek, I., Howlett, R.J., Jain, L.C. (eds.) KES 2008, Part I. LNCS (LNAI), vol. 5177, pp. 588–597. Springer, Heidelberg (2008)
Kumamoto, T., Tanaka, K.: Web OpinionPoll: Extensive Collection and Impression-based Visualization of People’s Opinions. In: Advances in Communication Systems and Electrical Engineering, ch.17. Lecture Notes in Electrical Engineering, vol. 4, pp. 229–243. Springer, US (2008)
Kawai, Y., Kumamoto, T., Tanaka, T.: User Preference Modeling Based on Interest and Impressions for News Portal Site Systems. In: Bressan, S., Küng, J., Wagner, R. (eds.) DEXA 2006. LNCS, vol. 4080, pp. 549–559. Springer, Heidelberg (2006)
Kawai, Y., Kumamoto, T., Tanaka, T.: Fair News Reader: Recommending News Articles with Different Sentiments Based on User Preference. In: Apolloni, B., Howlett, R.J., Jain, L. (eds.) KES 2007, Part I. LNCS (LNAI), vol. 4692, pp. 612–622. Springer, Heidelberg (2007)
Plutchik, R.: The Emotions: Facts, Theories, and a New Model. Random House, New York (1962)
Kan, T.: Multivariate Statistical Analysis, Gendai-Sugakusha, Kyoto, Japan (2000)
SGI Japan Ltd., http://www.sgi.co.jp/newsroom/press_releases/2004/sep/st.html
Fukui, M., Shibazaki, Y., Sasaki, K., Takebayashi, Y.: Multimodal Personal Information Provider Using Natural Language and Emotion Understanding from Speech and Keyboard Input. IPSJ SIG Notes, HI64-8, 43–48 (1986)
Kuraishi, H., Shibata, Y.: Feeling Communication System by Facial Expression Analysis/Synthesis Using Individual Models. IPSJ SIG Notes, DPS74-14, 79–84 (1996)
Mera, K., Ichimura, T., Aizawa, T., Yamashita, T.: Invoking Emotions in a Dialog System Based on Word-Impressions. Trans. Japanese Society for Artificial Intelligence 17(3), 186–195 (2002)
Ren, F.M., Mitsuyoshi, K., Kuroiwa, S., Lin, S.G.: Researches on the Emotion Measurement System. In: Proc. IEEE International Conference on System, Man and Cybernetics, pp. 1666–1672 (2003)
Turney, P.D.: Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews. In: Proc. of the Conference on Association for Computational Linguistics, Philadelphia, USA, pp. 417–424 (2002)
Ohno, S., Hamanishi, M.: Ruigo-Kokugo-Jiten. Kadokawa Shoten Publishing Co., Ltd., Tokyo (1986)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kumamoto, T. (2010). Design of Impression Scales for Assessing Impressions of News Articles. In: Yoshikawa, M., Meng, X., Yumoto, T., Ma, Q., Sun, L., Watanabe, C. (eds) Database Systems for Advanced Applications. DASFAA 2010. Lecture Notes in Computer Science, vol 6193. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14589-6_29
Download citation
DOI: https://doi.org/10.1007/978-3-642-14589-6_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14588-9
Online ISBN: 978-3-642-14589-6
eBook Packages: Computer ScienceComputer Science (R0)