Consumer analysis of high sensitivity layer

Yoshio Matsuyama, Yumi Asahi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Today, test marketing is often performed in order to perform marketing efficiently. The purpose of this study is to conduct test marketing of food more efficiently. We focus on the Innovation Theory and report on “food” from the study purpose. Matsuyama and Asahi are conducting similar study. Matsuyama and Asahi created a generalized model with a deep learning model to achieve a similar goal. In this study, logistic regression analysis is performed using the same objective variables and explanatory variables, and the results are compared with the Matsuyama and Asahi study results. In addition, in the analysis of Matsuyama and Asahi, they did not see the text information when posting the report. This time we analyzed this text information in addition to the logistic regression analysis. We searched the word which is likely to come to make reports easy to emphasize and hard to emphasize about the report. In this study, we used data from an SNS site called Minrepo, which may be applicable to other platforms.

Original languageEnglish
Title of host publicationHuman Interface and the Management of Information. Designing Information - Thematic Area, HIMI 2020, Held as Part of the 22nd International Conference, HCII 2020, Proceedings
EditorsSakae Yamamoto, Hirohiko Mori
PublisherSpringer
Pages236-249
Number of pages14
ISBN (Print)9783030500191
DOIs
Publication statusPublished - 2020
EventThematic Area on Human Interface and the Management of Information, HIMI 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020 - Copenhagen, Denmark
Duration: 19 Jul 202024 Jul 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12184 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceThematic Area on Human Interface and the Management of Information, HIMI 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020
CountryDenmark
CityCopenhagen
Period19/07/2024/07/20

Keywords

  • Innovation Theory
  • Logistic regression analysis
  • Natural language processing

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