Internet Finance Development Opportunities and Challenges Based on Text Analysis Methods

2021 ◽  
pp. 781-786
Author(s):  
Megan Wang
Keyword(s):  
Text Analysis ◽  
Analysis Methods ◽  
Finance Development ◽  
Internet Finance

scholarly journals The narrative arc: Revealing core narrative structures through text analysis

2020 ◽  
Vol 6 (32) ◽  
pp. eaba2196
Author(s):  
Ryan L. Boyd ◽  
Kate G. Blackburn ◽  
James W. Pennebaker
Keyword(s):  
Supreme Court ◽  
Text Analysis ◽  
Story Structure ◽  
Science Reporting ◽  
Common Structure ◽  
Narrative Structures ◽  
Analysis Methods ◽  
Language Analysis ◽  
Computer Based ◽  
Ted Talks

Scholars across disciplines have long debated the existence of a common structure that underlies narratives. Using computer-based language analysis methods, several structural and psychological categories of language were measured across ~40,000 traditional narratives (e.g., novels and movie scripts) and ~20,000 nontraditional narratives (science reporting in newspaper articles, TED talks, and Supreme Court opinions). Across traditional narratives, a consistent underlying story structure emerged that revealed three primary processes: staging, plot progression, and cognitive tension. No evidence emerged to indicate that adherence to normative story structures was related to the popularity of the story. Last, analysis of fact-driven texts revealed structures that differed from story-based narratives.

Trade openness, internet finance development and banking sector development in China

2020 ◽  
Vol 91 ◽  
pp. 670-678
Author(s):  
Junhui Fu ◽  
Yufang Liu ◽  
Rongda Chen ◽  
Xiaojian Yu ◽  
Wen Tang
Keyword(s):  
Banking Sector ◽  
Trade Openness ◽  
Banking Sector Development ◽  
Finance Development ◽  
Internet Finance

Analysing dynamics of crop problems by applying text analysis methods on farm advisory data of eSaguTM

2010 ◽  
Vol 5 (2) ◽  
pp. 154
Author(s):  
R. Uday Kiran ◽  
P. Krishna Reddy ◽  
M. Kumara Swamy ◽  
G. Syamasundar Reddy
Keyword(s):  
Text Analysis ◽  
Analysis Methods ◽  
On Farm

Hybrid Speech and Text Analysis Methods for Speaker Change Detection

2021 ◽  
pp. 1-1
Author(s):  
Or Haim Anidjar ◽  
Ishak Lapidot ◽  
Chen Hajaj ◽  
Amit Dvir ◽  
Gilad Issachar
Keyword(s):  
Change Detection ◽  
Text Analysis ◽  
Analysis Methods ◽  
Speaker Change Detection

scholarly journals Delineating knowledge management through lexical analysis – a retrospective

2015 ◽  
Vol 67 (2) ◽  
pp. 203-229 ◽  
Author(s):  
Jacobus Philippus van Deventer ◽  
Cornelius Johannes Kruger ◽  
Roy Donald Johnson
Keyword(s):  
Knowledge Management ◽  
Knowledge Discovery ◽  
Research Methods ◽  
Text Analysis ◽  
Point Of View ◽  
The Body ◽  
Future Research ◽  
Content Type ◽  
Analysis Methods ◽  
Content Information

Purpose – Academic authors tend to define terms that meet their own needs. Knowledge Management (KM) is a term that comes to mind and is examined in this study. Lexicographical research identified KM terms used by authors from 1996 to 2006 in academic outlets to define KM. Data were collected based on strict criteria which included that definitions should be unique instances. From 2006 onwards, these authors could not identify new unique instances of definitions with repetitive usage of such definition instances. Analysis revealed that KM is directly defined by People (Person and Organisation), Processes (Codify, Share, Leverage, and Process) and Contextualised Content (Information). The paper aims to discuss these issues. Design/methodology/approach – The aim of this paper is to add to the body of knowledge in the KM discipline and supply KM practitioners and scholars with insight into what is commonly regarded to be KM so as to reignite the debate on what one could consider as KM. The lexicon used by KM scholars was evaluated though the application of lexicographical research methods as extended though Knowledge Discovery and Text Analysis methods. Findings – By simplifying term relationships through the application of lexicographical research methods, as extended though Knowledge Discovery and Text Analysis methods, it was found that KM is directly defined by People (Person and Organisation), Processes (Codify, Share, Leverage, Process) and Contextualised Content (Information). One would therefore be able to indicate that KM, from an academic point of view, refers to people processing contextualised content. Research limitations/implications – In total, 42 definitions were identified spanning a period of 11 years. This represented the first use of KM through the estimated apex of terms used. From 2006 onwards definitions were used in repetition, and all definitions that were considered to repeat were therefore subsequently excluded as not being unique instances. All definitions listed are by no means complete and exhaustive. The definitions are viewed outside the scope and context in which they were originally formulated and then used to review the key concepts in the definitions themselves. Social implications – When the authors refer to the aforementioned discussion of KM content as well as the presentation of the method followed in this paper, the authors may have a few implications for future research in KM. First the research validates ideas presented by the OECD in 2005 pertaining to KM. It also validates that through the evolution of KM, the authors ended with a description of KM that may be seen as a standardised description. If the authors as academics and practitioners, for example, refer to KM as the same construct and/or idea, it has the potential to speculatively, distinguish between what KM may or may not be. Originality/value – By simplifying the term used to define KM, by focusing on the most common definitions, the paper assist in refocusing KM by reconsidering the dimensions that is the most common in how it has been defined over time. This would hopefully assist in reigniting discussions about KM and how it may be used to the benefit of an organisation.

Experience and Enlightenment of American Internet Finance Supervision

2014 ◽  
Vol 989-994 ◽  
pp. 5254-5257
Author(s):  
Jian Bo Hu
Keyword(s):  
Financial Risk ◽  
General Term ◽  
The Internet ◽  
Security Risk ◽  
Finance Development ◽  
National Economic ◽  
Technical Risk ◽  
Internet Finance ◽  
System Risk ◽  
Information Security Risk

Emerging internet finance is a general term that based on the internet and formation of financing activities.Internet finance promotes national economic development and at the same time also increases the instability of financial markets. The internet finane except with traditional financial risk types, also brings new risks, such as technical risk, special law and system risk,information security risk, etc. In our country, there are no special laws and supervision to regulate and govern on internet finance, and also have no special department plan and support its development.The United States’s finance is more developed, and the internet finance concept is widely popular and traditional bank network degree is more perfect. Based on this, the experience of the internet finance development and supervision of USA,which will undoubtedly have important strategic significance and practical application value to promote the internet finance healthy and orderly development in China.

Sign in / Sign up

Export Citation Format

Share Document