scholarly journals EFFICIENT TURKISH TEXT CLASSIFICATION APPROACH FOR CRISIS MANAGEMENT SYSTEMS

Author(s):  
Saed ALQARALEH
Author(s):  
Oleksii Hryniuk ◽  
Olena Misyaylo

This article is devoted to the consideration of the issue of possibilities for the application of the project approach as a tool of the anti-crisis management system of the enterprise. The essential aspects of anti-crisis management as a separate direction of management activity at the enterprise are considered. Within the framework of the work, the main problems of the formation of effective anti-crisis management systems among domestic enterprises have been identified, which are becoming increasingly important in the context of the instability of the external environment. The content of the project approach to the implementation of management is analyzed, which consists in ensuring the structuredness, consistency and efficiency of the process of implementing certain measures of an organizational or economic nature. The main levels are highlighted within which the project approach is advisable to use, namely the methodological level, the resource level and the organizational level. The possibilities of effective integration of the project approach into the system of anti-crisis management of the enterprise have been substantiated by comparing and detailed characteristics of the basic needs of anti-crisis management, arising from the existing problems of its implementation, together with the key properties inherent in the project approach. The main groups of stakeholders interested in using the project approach in anti-crisis management of an enterprise have been identified, which include shareholders and owners, creditors, top management, personnel and consumers of the enterprise's products. The key features of the project approach in the system of anti-crisis management of an enterprise are characterized from the standpoint of potential positive impacts during its implementation in business practice, and potential constraints that can interfere with the relevant processes are analyzed. The sequence of implementation of the integration of the project approach into the system of anti-crisis management of the enterprise has been developed, includes six stages for the development, preparation, planning, implementation, control, assessment and adjustment of the corresponding process.


Author(s):  
Niklas Hallberg ◽  
Sofie Pilemalm ◽  
Toomas Timpka

Terror attacks and natural disasters of the past decades have dramatically made governments, public health authorities, and communities aware of insufficiencies in crisis management practices. Information technology has the potential to advance these practices, but systems that support handling these courses of events still have low success rates. The authors set out to define a requirements engineering method suitable for the development of crisis management systems (CMS). The resulting method was formatively evaluated in a project aimed at defining functions for systems supporting international engagements in crisis situations. Each step in the method was documented by its objective, output, implementation, and the experiences gained from the case study. The most important features of the method are the Voice of the Customer Table for identification of user needs, Use Cases for determination of requirements from the needs, and scenarios and prototypes for validating the requirements with user representatives.


Author(s):  
Maitri Maulik Jhaveri ◽  
Jyoti Pareek

Online learning repositories are the heart of learning content management systems. This article proposes a model that utilizes the educational content of learning repositories, to create and display multiple learning paths to the students. When a student specifies a topic to study, the model creates the learning paths in form of a tree, with student specified learning concepts as the root node and its co-existing concepts as the child nodes. The model also proposes to automatically extract three co-existing concepts: prerequisites, subsequent topics and features. Use of pattern-based mining and a rule-based classification approach is proposed for the extraction of co-existing concepts. Automatically extracted results are checked for meaningfulness and usefulness against expert generated results. Evaluation of the authors' model on various learning materials shows the appropriate generation of learning paths depicting the co-exiting concepts. The average F1 score obtained for automatic prerequisite extraction is 78%, automatic subsequent topic extraction is 83% and automatic feature extraction is 88%.


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