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Text mining based knowledge management in banking [chapter]

K. Lebeth, M. Lorenz, U. Störl
2005 Text Mining and its Applications to Intelligence, CRM and Knowledge Management  
This paper presents a text mining based knowledge management (KM) approach.  ...  In the next section we describe a prototype, which enables the automated extraction of keywords for documents of almost all formats.  ...  At present we evaluate different algorithms using text frequency combined with document frequency as statistical measure as well as clustering and categorizing based approaches.  ... 
doi:10.2495/978-1-85312-995-7/16 fatcat:pxd4j7vv5vamfpl6ukfudj5fwy

Semi-Automatic Generation of Metadata for Items in a Question Repository

Rekha Ramesh, Shitanshu Mishra, M. Sasikumar, Sridhar Iyer
2014 2014 IEEE Sixth International Conference on Technology for Education  
This paper proposes a software system that semi-automatically generates metadata for items in a question repository.  ...  Question repositories are organized collections of assessment questions (items) that serve many purposes.  ...  The items in an item banks vary widely one from another in their characteristics and use [13] .  ... 
doi:10.1109/t4e.2014.38 dblp:conf/t4e/RameshMSI14 fatcat:6bjhmbkkfnfjlnahuvddg7vuza

A Survey of Text Mining Techniques and Applications

Vishal Gupta, Gurpreet S. Lehal
2009 Journal of Emerging Technologies in Web Intelligence  
Text Mining is the discovery by computer of new, previously unknown information, by automatically extracting information from different written resources.  ...  Text Mining has become an important research area.  ...  And candidate keywords are extracted throw keyword extraction module. And finally keywords are extracted by cross-domain comparison module. Keyword extraction module is described in detail.  ... 
doi:10.4304/jetwi.1.1.60-76 fatcat:wx3k6xjfh5dodjewrpu2jgfs4y

Systematic Literature Review Protocol

Veronika Plotnikova, Marlon Dumas, Fredrik P. Milani
2019 Figshare  
This is Systematic Literature Review Protocol for research contribution on Data Mining Methodologies Adaptations.  ...  Further, [14] presented three-tier categorization framework for types of "grey literature".  ...  Secondly, the pilot search was executed removing restrictions with respect to search only on title, abstract and keywords (TITLE-ABS-KEY) and searching all items (ALL ITEMS) instead (please refer for detailed  ... 
doi:10.6084/m9.figshare.10315961.v1 fatcat:k2g47qsryjauhjtwirhd7vliku

System Review: A Text Analysis on Supply Chain Finance

Chao-Chen Hsieh, Jun-Zhi Chiu
2020 Universal Journal of Management  
In efforts to demonstrate the importance role that frequency-inverse document frequency (TF-IDF) plays in retrieving information using various keywords within various document (otherwise known as text  ...  Supply chain finance (SCF) is dynamic approach in banks' proprietary platform and is becoming more flexible and transparent through ingenious technological solutions of effectively integrating the flows  ...  Use TF-IDF Based Framework for Text Categorization To calculate the frequency of keywords, the algorithm must begin by extracting the keywords as highlighted in the abstract then search through the entire  ... 
doi:10.13189/ujm.2020.080201 fatcat:japtec3c5vgglplc63inzcsiay

Hybrid Algorithm to Generate Summary of Documents by Extracting Keywords

Devanshi Parikh, Surbhi Patel, Dr. Hiren Joshi, Rollwala Computer Center, Gujarat University, Ahmedabad, India
2020 International Journal of Engineering Research and  
Since text summarization process is highly depend on keyword extraction, the overall results are found promising.  ...  In modern times, data is growing rapidly in every domain such as news, social media, banking, education, etc.  ...  This literature includes the discussion about different methodology used for keyword extraction and text summarization.  ... 
doi:10.17577/ijertv9is040484 fatcat:7j5os5gbpjd3hj7udil2m67fde

Towards Intelligent Risk-based Customer Segmentation in Banking [article]

Shahabodin Khadivi Zand
2020 arXiv   pre-print
The goal is to present a novel intelligent customer segmentation process which automates the feature engineering, i.e., the process of using (banking) domain knowledge to extract features from raw data  ...  via data mining techniques, in the banking domain.  ...  ACKNOWLEDGEMENTS -I acknowledge the AI-enabled Processes (AIP 2 ) Research Centre and Prospa 3 for funding this project.  ... 
arXiv:2009.13929v1 fatcat:v52ryj3xzrhrfdktn3tti7mwd4

A semantic-expansion approach to personalized knowledge recommendation

Ting-Peng Liang, Yung-Fang Yang, Deng-Neng Chen, Yi-Cheng Ku
2008 Decision Support Systems  
Fast response and personalized recommendations have become natural trends for all businesses.  ...  The digital nature of their products allows for more customized delivery over the Internet.  ...  Mooney and Roy [36] proposed a content-based book recommending system that utilizes information extraction for text categorization and produces accurate recommendations. Lai et al.  ... 
doi:10.1016/j.dss.2007.05.004 fatcat:ijymxehs2rd5znevx5a3k7j7ce

Text Mining for Big Data Analysis in Financial Sector: A Literature Review

Mirjana Pejić Bach, Živko Krstić, Sanja Seljan, Lejla Turulja
2019 Sustainability  
(iii) Which data sources are the most often used for text mining in the financial sector, and for which purposes?  ...  Recent research and practice indicate that such information can be interesting for the decision-making process.  ...  the introduction of stemming or lemmatization tasks on keywords in order to gather all variations of specific keywords (example: bank, banking, banks -> bank).  ... 
doi:10.3390/su11051277 fatcat:cjkvyvephrf67c4donpui5o5w4

Knowledge Discovery using Various Multimedia Data Mining Technique

Ankita R
2015 International Journal on Recent and Innovation Trends in Computing and Communication  
Multimedia data mining refers to sample discovery, rule extraction and knowledge gaining from multimedia database.  ...  Multimedia data mining can be defined as the process of finding motivating patterns from media data such as audio mining , video mining, image mining and text mining that are not generally available by  ...  TEXT MINING: Text Mining is a type of mining where data is extracted only in text format from the data bases. Text mining can be said as an extension Data mining.  ... 
doi:10.17762/ijritcc2321-8169.150354 fatcat:4ygtetjrtbhlzbcxteo6b5s5qa

A Multi-stage Data Mining Approach for Liquid Bulk Cargo Volume Analysis based on Bill of Lading Data

Suhyeon Kim, Wonho Sohn, Dongcheol Lim, Junghye Lee
2021 Expert systems with applications  
Thus, it is important to establish an analysis system for LBC volume, as it can help inform strategies for port planning and management.  ...  Firstly, an innovative item segmentation system using item texts of BL data was developed, which can generate subcategory as well as category information of LBC items that existing system cannot provide  ...  Then, the keywords are extracted from item texts, which are the criteria for item 144 categorization; the keywords that belong to other subcategories are excluded from the LBC-145 ID.  ... 
doi:10.1016/j.eswa.2021.115304 fatcat:d735dv3gjjbalf3ryyumhtbdyu

An Integrated Information Retrieval Framework for Managing the Digital Web Ecosystem [chapter]

Dengya Zhu, CBS, Curtin University, Perth, WA, AU, Shastri L. Nimmagadda, Torsten Reiners, CBS, Curtin University, Perth, WA, AU, Curtin University, Perth, WA, AU
2018 Australasian Conference on Information Systems 2018  
In this article, we describe effective information retrieval services for users and agents in various digital Web ecosystem scenarios.  ...  Acknowledgement We acknowledge the contributions of Professor Heinz Dreher (retired) for his critical comments made on the initial manuscript.  ...  For example, keyword "jaguar" may mean 1) a car for a car seller; 2) an animal for an environmentalist and 3) an operating system for a technician.  ... 
doi:10.5130/acis2018.br fatcat:sonugetrwnhf7gvg2ycgco7ipe

Identifying comparative sentences in text documents

Nitin Jindal, Bing Liu
2006 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '06  
It first categorizes comparative sentences into different types, and then presents a novel integrated pattern discovery and supervised learning approach to identifying comparative sentences from text documents  ...  This paper studies the problem of identifying comparative sentences in text documents. The problem is related to but quite different from sentiment/opinion sentence identification or classification.  ...  ACKNOWLEDGEMENTS We thank Rajmonda Sulo and Makio Tamara for many useful discussions, annotation of data and helping us in literature survey.  ... 
doi:10.1145/1148170.1148215 dblp:conf/sigir/JindalL06 fatcat:plxzxaurgvbkzfq4n4krdliv3a

Effects of interpregnancy interval on pregnancy complications: protocol for systematic review and meta-analysis

Amanuel Tesfay Gebremedhin, Annette K Regan, Eva Malacova, M Luke Marinovich, Stephen Ball, Damien Foo, Gavin Pereira
2018 BMJ Open  
All authors contributed to the initial question development, search strategy, study selection criteria and have approved and contributed to the final written manuscript.  ...  Acknowledgements We are very grateful for the expert assistance of Faculty of Health Sciences librarian, Ms Diana Blackwood.  ...  A search strategy was developed (see table 1 for search criteria and online Supplementary file 1 for detailed search strategy for each database).  ... 
doi:10.1136/bmjopen-2018-025008 pmid:30082369 pmcid:PMC6089264 fatcat:ddv4lzlhr5eelprhlc7dgpgm4u

An Intelligent System for Detecting Image Spam based on Exploration of Text Information Embedded into Images

2020 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
While the former segments individual characters, the latter overcomes the issue of blocked texts and not well surveyed.  ...  tackle this setback and the principle of this paper is to evaluate and review several algorithms, talk about benchmark statistics or data, show appraisal of performance followed by potential direction for  ...  Text categorization examines whether a similar text classification strategies functional to e-mail's body content can be compelling additionally to investigate the text or character extract using OCR  ... 
doi:10.35940/ijitee.c9108.019320 fatcat:zrreltsezndmtlbsowaq52zzza
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