Skip to main content
SpringerLink
Log in

Analysis of the Relationship Between Food and the Writer's Emotions Using a Meal Diary

  • Conference paper
  • First Online:
Social Computing and Social Media: Design, User Experience and Impact (HCII 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13315))

Included in the following conference series:

  • 1677 Accesses

Abstract

The purpose of this study is to gain useful marketing insights by estimating the writer's emotions from the text and clarifying the relationship between the text's characteristics and food. First, each day’s emotional evaluation, taste evaluation, and the presence or absence of an event are clarified from the text, and each text is evaluated in three items. Next, the overall score is calculated from the average value of the three items, and the characteristics of sentences with high and low scores are clarified. The result of our analysis, the characteristics of the text reveal the relationship between emotions of the day and food choices.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Kobayashi, N., Inui, K., Matsumoto, Y., Tateishi, K., Fukushima, T.: Collecting evaluative expressions for opinion extraction. J. Natural Lang. Process. 12(3), 203–222 (2005). (in Japanese)

    Google Scholar 

  2. Joulin, A., Grave, E., Bojanowski, P., Mikolov, T.: Bag of Tricks for Efficient Text Classification: Facebook AI Research (2016)

    Google Scholar 

  3. Mikolov, T., Yih, W., Zweig, G.: “Linguistic Regularities in Continuous Space, Word Representations”: Microsoft Research (2013)

    Google Scholar 

  4. Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient Estimation of Word Representations in Vector Space. Google Inc. (2013)

    Google Scholar 

  5. Mikolov, T., Sutskever, I., Chen, K., Corrado, G., Dean, J.: Distributed Representations of Words and Phrases and, their Compositionality. Google Inc. (2013)

    Google Scholar 

  6. Averill, J.: On the Paucity of Positive Emotions: Blankstein, K., Pliner, P., Polivy, J.. (eds.) Assessment and Modification of Emotional Behavior, Chapter 2, pp. 7–45 (1980)

    Google Scholar 

Download references

Acknowledgement

This work was supported by JSPS KAKENHI Grant Number 19K01945, 21H04600 and 21K13385.

Author information

Authors and Affiliations

  1. Graduate School of Science and Engineering, Chuo University, 1-13-27, Kasuga, Bunkyo-ku, Tokyo, Japan

    Shoki Eto

  2. School of Information and Telecommunication Engineering, Tokai University, 1-13-27, Takanawa, Minato-ku, Tokyo, Japan

    Kohei Otake

  3. Faculty of Science and Engineering, Chuo University, 1-13-27, Kasuga, Bunkyo-ku, Tokyo, Japan

    Takashi Namatame

Authors
  1. Shoki Eto
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Kohei Otake
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Takashi Namatame
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Shoki Eto .

Editor information

Editors and Affiliations

  1. Towson University, Towson, MD, USA

    Gabriele Meiselwitz

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Eto, S., Otake, K., Namatame, T. (2022). Analysis of the Relationship Between Food and the Writer's Emotions Using a Meal Diary. In: Meiselwitz, G. (eds) Social Computing and Social Media: Design, User Experience and Impact. HCII 2022. Lecture Notes in Computer Science, vol 13315. Springer, Cham. https://doi.org/10.1007/978-3-031-05061-9_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-05061-9_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-05060-2

  • Online ISBN: 978-3-031-05061-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation