most citedMeasuring the influence of mere exposure effect of TV commercial adverts on purchase behavior based on machine learning prediction models

32 citations · 51 across the 7 of their papers we have counts for

collaborators

8 papers

cs.IR2019★ 4 cited

Emotional Contribution Analysis of Online Reviews

Elisa Claire Alemán Carreón, Hirofumi Nonaka, Toru Hiraoka +3

In response to the constant increase in population and tourism worldwide, there is a need for the development of cross-language market research tools that are more cost and time ef…

cs.IR2019★ 1 cited

Analysis of Chinese Tourists in Japan by Text Mining of a Hotel Portal Site

Elisa Claire Alemán Carreón, Hirofumi Nonaka, Toru Hiraoka

With an increasingly large number of Chinese tourists in Japan, the hotel industry is in need of an affordable market research tool that does not rely on expensive and time-consumi…

cs.IR2019

Causal relationship between eWOM topics and profit of rural tourism at Japanese Roadside Stations "MICHINOEKI"

Elisa Claire Alemán Carreón, Tetsuro Ito, Hirofumi Nonaka +3

Affected by urbanization, centralization and the decrease of overall population, Japan has been making efforts to revitalize the rural areas across the country. One particular effo…

cs.IR2019★ 32 cited

Measuring the influence of mere exposure effect of TV commercial adverts on purchase behavior based on machine learning prediction models

Elisa Claire Alemán Carreón, Hirofumi Nonaka, Asahi Hentona +1

Since its introduction, television has been the main channel of investment for advertisements in order to influence customers purchase behavior. Many have attributed the mere expos…

cs.IR2019

Topic Classification Method for Analyzing Effect of eWOM on Consumer Game Sales

Yoshiki Horii, Hirofumi Nonaka, Elisa Claire Alemán Carreón +2

Electronic word-of-mouth (eWOM) has become an important resource for the analysis of marketing research. In this study, in order to analyze user needs for consumer game software, w…

cs.DL2019★ 9 cited

Community Detection and Growth Potential Prediction Using the Stochastic Block Model and the Long Short-term Memory from Patent Citation Networks

Kensei Nakai, Hirofumi Nonaka, Asahi Hentona +5

Scoring patent documents is very useful for technology management. However, conventional methods are based on static models and, thus, do not reflect the growth potential of the te…