| 1 |
A “Catchy ” Copy and Concept Evaluation System Using a Natural Language Processing Approach
|
|
|
|
In: http://ultimavi.arc.net.my/banana/Workshop/SCI2002/papers/Ikada_Kaneda.pdf
|
|
Abstract:
In advertising, marketing research, CF (Commer-cial Film) creation, and drama creation, it is very im-portant to be able to predict the words or concepts that will come into vogue. Initially, a creator comes up with many candidates for future vogue words or concepts. Next, the creator selects the best word or concept for the most “catchy ” copy. This selection process is very hard because it is essentially a sen-sory and intuitive job. Thus, the creator often can-not explain why he/she thinks a particular candidate word is the best one. To resolve this problem, this pa-per demonstrates a new approach using natural lan-guage processing techniques and the “Contemporary Word Dictionary ” (Jiyukokumin–sha, Tokyo) to sup-port creators in selecting the best word or concept from several candidates. This system is based on the assumption that a vogue word or concept is a reflec-tion of the social, economic, or political situation. Us-ing this system, the “Most Popular Vogue Words ” se-lected in the year 2000 by the publishing company Jiyukokumin–sha were evaluated by comparison with the former “Most Popular Vogue Words ” selected in the years 1997–1999. The experimental results ob-tainedwere also tested statistically. The statistical test showed that the result was expressive. This means that the proposed approach is both practical and ef-fective.
|
|
Keyword:
Contemporary Word Dictio- nary; Natu- ral Language Processing; Statistical Test; Support System; Word in Vogue
|
|
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.617.1060
http://ultimavi.arc.net.my/banana/Workshop/SCI2002/papers/Ikada_Kaneda.pdf
|
|
BASE
|
|
Hide details
|
|
|
|
|
