Blog content mining: topic identification and evolution extraction.

Ng, Kuan Kit.Thesis (M.Phil.)--Chinese University of Hong Kong, 2009.Includes bibliographical references (leaves 92-100).Abstract also in Chinese.Abstract --- p.iAcknowledgement --- p.iiiChapter 1 --- Introduction --- p.1Chapter 1.1 --- Blog Overview --- p.2Chapter 1.2 --- Motivation --- p.4Chapter 1.2.1 --- Blog Mining --- p.5Chapter 1.2.2 --- Topic Detection and Tracking --- p.8Chapter 1.3 --- Objectives and Contributions --- p.9Chapter 1.4 --- Proposed Methodology --- p.11Chapter 2 --- Related Work --- p.13Chapter 2.1 --- Web Document Clustering --- p.13Chapter 2.2 --- Document Clustering with Temporal Information --- p.15Chapter 2.3 --- Blog Mining --- p.17Chapter 3 --- Feature Extraction and Selection --- p.20Chapter 3.1 --- Blog Extraction and Content Cleaning --- p.21Chapter 3.1.1 --- Blog Parsing and Structure Identification --- p.22Chapter 3.1.2 --- Stop-word Removal --- p.24Chapter 3.1.3 --- Word Stemming --- p.25Chapter 3.1.4 --- Heuristic Content Cleaning and Multiword Grouping --- p.25Chapter 3.2 --- Feature Selection --- p.26Chapter 3.2.1 --- Term Frequency Inverse Document Frequency --- p.27Chapter 3.2.2 --- Term Contribution --- p.29Chapter 4 --- Blog Topic Extraction --- p.31Chapter 4.1 --- Requirements of Document Clustering --- p.32Chapter 4.1.1 --- Vector Space Modeling --- p.32Chapter 4.1.2 --- Similarity Measurement --- p.33Chapter 4.2 --- Document Clustering --- p.34Chapter 4.2.1 --- Partitional Clustering --- p.36Chapter 4.2.2 --- Hierarchial Clustering --- p.37Chapter 4.2.3 --- Density-Based Clustering --- p.38Chapter 4.3 --- Proposed Concept Clustering --- p.40Chapter 4.3.1 --- Semantic Distance between Concepts --- p.43Chapter 4.3.2 --- Bounded Density-Based Clustering --- p.47Chapter 4.3.3 --- Document Assignment with Topic Clusters --- p.57Chapter 4.4 --- Discussion --- p.58Chapter 5 --- Blog Topic Evolution --- p.61Chapter 5.1 --- Topic Evolution Graph --- p.61Chapter 5.2 --- Topic Evolution --- p.64Chapter 6 --- Experimental Result --- p.69Chapter 6.1 --- Evaluation of Topic Cluster --- p.70Chapter 6.1.1 --- Evaluation Criteria --- p.70Chapter 6.1.2 --- Evaluation Result --- p.73Chapter 6.2 --- Evaluation of Topic Evolution --- p.79Chapter 6.2.1 --- Results of Topic Evolution Graph --- p.80Chapter 6.2.2 --- Evaluation Criteria --- p.82Chapter 6.2.3 --- Evaluation of Topic Evolution --- p.83Chapter 6.2.4 --- Case Study --- p.84Chapter 7 --- Conclusions and Future Work --- p.88Chapter 7.1 --- Conclusions --- p.88Chapter 7.2 --- Future Work --- p.90Bibliography --- p.92Chapter A --- Stop Word List --- p.101Chapter B --- Feature Selection Comparison --- p.104Chapter C --- Topic Evolution --- p.106Chapter D --- Topic Cluster --- p.10