scholarly journals Research Trends and Correlation Analysis of Technological Innovation and Absorptive Capacity

2021 ◽  
Vol 12 (6) ◽  
pp. 792-801
Author(s):  
Eun-Mi Park Et.al
Keyword(s):  
Data Analysis ◽  
Technological Innovation ◽  
Absorptive Capacity ◽  
Research Trends ◽  
Unstructured Data ◽  
Research Trend ◽  
Text Data ◽  
R Program ◽  
Innovation Capacity ◽  
Text Data Analysis

The purpose of this study is to identify the research trend of innovation capacity and technological innovation that are recently required in companies. This was done by collecting and analyzing dissertation abstracts from Springer and Scopus, which are websites with a collection of dissertations. For the research method, this study used NetMiner 4 and R program for text data analysis amongst unstructured data analysis, and analysis methods like keyword network analysis, LDA, and TreeMap were applied. The analysis results showed that there is a difference in the importance of technological innovation and absorptive capacity of Springer and Scopus

A Primer on Text-Data Analysis

2011 ◽  
pp. 3111-3118 ◽  
Author(s):  
Imad Rahal ◽  
Baoying Wang ◽  
James Schnepf
Keyword(s):  
Information Retrieval ◽  
Data Analysis ◽  
Language Processing ◽  
Information Filtering ◽  
Data Representation ◽  
Research Area ◽  
Research Field ◽  
Text Data ◽  
Document Collections ◽  
Text Data Analysis

Since the invention of the printing press, text has been the predominate mode for collecting, storing and disseminating a vast, rich range of information. With the unprecedented increase of electronic storage and dissemination, document collections have grown rapidly, increasing the need to manage and analyze this form of data in spite of its unstructured or semistructured form. Text-data analysis (Hearst, 1999) has emerged as an interdisciplinary research area forming a junction of a number of older fields like machine learning, natural language processing, and information retrieval (Grobelnik, Mladenic, & Milic-Frayling, 2000). It is sometimes viewed as an adapted form of a very similar research field that has also emerged recently, namely, data mining, which focuses primarily on structured data mostly represented in relational tables or multidimensional cubes. This article provides an overview of the various research directions in text-data analysis. After the “Introduction,” the “Background” section provides a description of a ubiquitous text-data representation model along with preprocessing steps employed for achieving better text-data representations and applications. The focal section, “Text-Data Analysis,” presents a detailed treatment of various text-data analysis subprocesses such as information extraction, information retrieval and information filtering, document clustering and document categorization. The article closes with a “Future Trends” section followed by a “Conclusion” section.

scholarly journals Empirical Research on Pedagogical Dictionary Use in Recent 30 Years

2019 ◽  
Vol 8 (6) ◽  
pp. 103
Author(s):  
Qian Li
Keyword(s):  
Data Analysis ◽  
Empirical Research ◽  
Empirical Studies ◽  
Research Trends ◽  
Descriptive Statistics ◽  
Research Trend ◽  
Research Topics ◽  
The Past ◽  
Using Data ◽  
Dictionary Use

Research on dictionary use is a relatively new field in lexicography. Among them, the empirical studies which were few before 1990s has gained ground over recent three decades. Using data of 35 articles from International Journal of Lexicography (1987–2017), this study renders an analysis of the empirical research trends in the field of dictionary use. The analysis mainly focuses on the research topics, research methodology, and the changes that have occurred in the field. The results show that while some hot topics (e.g., the effectiveness of dictionary use or of certain dictionary information) have remained popular over the past two decades, some topics, e.g., the exploration of dictionary using process have received an increasing attention, but some others, e.g., the investigation on habits and needs of dictionary use, have witnessed a decrease of interest recently. Furthermore, researchers have improved the methodological standards for recent studies. As for data analysis, more complicated statistic approaches, rather than pure descriptive statistics, have been adopted. Finally, based on the analysis on previous studies, this paper offers suggestions for further research trend.

Sign in / Sign up

Export Citation Format

Share Document