Analyzing five conscious and unconscious behaviors using google n-gram database generated from millions of books

Abstract

Due to the exponential increase in the proliferation of information by humans and machines, the 21st century is called the "Information Age"and the "Digital Age". Regardless of the size of the data at hand, the challenge always is to clear, combine, analyze and transform the data into meaningful information. In this article, the words "eating, hearing, seeing, guiding, humming"in Google n-gram corpus are examined along with their adjacent adjectives indicating to elucidate whether they refer to a conscious action or not. The Google n-gram corpus was generated from millions of scanned books published between 1500 and 2008. Books are the expression of human emotions, thoughts and behaviors. The frequency of the usage of certain words in books can be considered as a marker to estimate the importance of the concept represented by that word. Also, the adjective that is frequently used to modify a noun can provide us with the information about the characteristics of the concept that the noun represents. In this study, an extensive body of data derived from the published books have been used to analyze conscious and unconscious behaviors. Time-dependent conscious and unconscious behavior trends were obtained by using linear regression. The uniqueness of this study lies in the fact that it uses written statements for conscious and unconscious behavior analysis. Among the five behaviors examined, the most common words in the books are "conscious eating". The use of this phrase also showed the highest increase over time. Although "unconscious eating"has almost the same increments as "conscious seeing", the concept of "unconscious seeing"has found little place in the books. © 2020 IEEE.