Treffer: Information extraction and data mining from Chinese financial news.

Title:
Information extraction and data mining from Chinese financial news.
Contributors:
Ng, Anny., Chinese University of Hong Kong Graduate School. Division of Computer Science and Engineering.
Publication Year:
2002
Collection:
The Chinese University of Hong Kong: CUHK Digital Repository / 香港中文大學數碼典藏
Document Type:
Fachzeitschrift text
File Description:
print; xiv, 142 leaves : ill.; 30 cm.
Language:
English
Chinese
Rights:
Use of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Accession Number:
edsbas.D94605A7
Database:
BASE

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Ng Anny. ; Thesis (M.Phil.)--Chinese University of Hong Kong, 2002. ; Includes bibliographical references (leaves 139-142). ; Abstracts in English and Chinese. ; Chapter 1 --- Introduction --- p.1 ; Chapter 1.1 --- Problem Definition --- p.2 ; Chapter 1.2 --- Thesis Organization --- p.3 ; Chapter 2 --- Chinese Text Summarization Using Genetic Algorithm --- p.4 ; Chapter 2.1 --- Introduction --- p.4 ; Chapter 2.2 --- Related Work --- p.6 ; Chapter 2.3 --- Genetic Algorithm Approach --- p.10 ; Chapter 2.3.1 --- Fitness Function --- p.11 ; Chapter 2.3.2 --- Genetic operators --- p.14 ; Chapter 2.4 --- Implementation Details --- p.15 ; Chapter 2.5 --- Experimental results --- p.19 ; Chapter 2.6 --- Limitations and Future Work --- p.24 ; Chapter 2.7 --- Conclusion --- p.26 ; Chapter 3 --- Event Extraction from Chinese Financial News --- p.27 ; Chapter 3.1 --- Introduction --- p.28 ; Chapter 3.2 --- Method --- p.29 ; Chapter 3.2.1 --- Data Set Preparation --- p.29 ; Chapter 3.2.2 --- Positive Word --- p.30 ; Chapter 3.2.3 --- Negative Word --- p.31 ; Chapter 3.2.4 --- Window --- p.31 ; Chapter 3.2.5 --- Event Extraction --- p.32 ; Chapter 3.3 --- System Overview --- p.33 ; Chapter 3.4 --- Implementation --- p.33 ; Chapter 3.4.1 --- Event Type and Positive Word --- p.34 ; Chapter 3.4.2 --- Company Name --- p.34 ; Chapter 3.4.3 --- Negative Word --- p.36 ; Chapter 3.4.4 --- Event Extraction --- p.37 ; Chapter 3.5 --- Stock Database --- p.38 ; Chapter 3.5.1 --- Stock Movements --- p.39 ; Chapter 3.5.2 --- Implementation --- p.39 ; Chapter 3.5.3 --- Stock Database Transformation --- p.39 ; Chapter 3.6 --- Performance Evaluation --- p.40 ; Chapter 3.6.1 --- Performance measures --- p.40 ; Chapter 3.6.2 --- Evaluation --- p.41 ; Chapter 3.7 --- Conclusion --- p.45 ; Chapter 4 --- Mining Frequent Episodes --- p.46 ; Chapter 4.1 --- Introduction --- p.46 ; Chapter 4.1.1 --- Definitions --- p.48 ; Chapter 4.2 --- Related Work --- p.50 ; Chapter 4.3 --- Double-Part Event Tree for the database --- p.56 ; Chapter 4.3.1 --- ...