User Needs-Based Technology Opportunities in Heterogeneous Fields Using Opinion Mining and Patent Analysis

Abstract

In a digital economy, users actively express their needs in many ways. Thus, many researchers analyze what users need and whether they are satisfied or not through opinion mining. In addition, they begin to find technology opportunities in heterogeneous technology fields. But they did not connect users' opinion to technology development process, only focused on natural language processing or marketing or manufacturing area. Also, heterogeneous technology fields are focused on fusion technology. Thus, this study suggests a novel approach that is based on sentimental value and can be applied to exploring technology opportunities in heterogeneous fields. Sentimental value is calculated from users' opinion through sLDA. The heterogeneous technology opportunity is explored by patent analysis. This research contributes to suggesting a hybrid methodology through patent and users' opinion. In addition, it can provide managerial efficiency by suggesting base data onto decision making. †

Technology opportunity discovery by structuring user needs based on natural language processing and machine learning

“…Semantria analyzes the sentimental value of documents, sentences, or words based on a pre-defined sentimental dictionary and their own algorithm. Many opinion minings have been conducted to calculate the sentimental value based on Semantria [25, 47]. Second, the distances between opinion triggers and sentimental keywords are calculated depending on the sentimental keywords type.…”

“…These patent indices show capability from various perspectives [13, 25, 48] impact, innovativeness, authorization, and market ability. Thus, the average value of the indices can be the technology ability containing various perspectives.…”

“…Sentimental value prediction models are developed through analyzing opinion text data and user profiles, such as age, sex, and religion [3]. Technology opportunities are discovered by analyzing user reviews and patents through sLDA [25]. Opinion mining is used to quantify the degree of positive or negative opinions about products or services [4, 26].…”

“…This research concentrates on the car industry to extract opinion triggers, and discover technology opportunity. Since the car industry is one of the most active areas in which users express their opinion in the web, many opinion mining studies target this industry to extract user opinion [25]. The car industry has various types of users, and their needs vary, depending on the purpose.…”

Developing a Methodology of Structuring and Layering Technological Information in Patent Documents through Natural Language Processing

“…Park and Song [32] used the abstract of a paper to understand the research trends based on LDA. Jang et al [33] discovered technology opportunity in heterogeneous technology fields using LDA. Jin et al [34] used Twitter data to select topics and search for issue changes through the network analysis of thematic keywords.…”