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Waltinger, Ulli: On social semantics in information retrieval. 2010
Inhalt
Introduction
Moving from Text to the Web
Classification, Categorization and Clustering
About the Bag-of-Words
Ontology vs. Knowledge Base
Words, Concepts And Topics
Open And Closed Content Models
Thesis Contributions
Thesis Outline
Document Representation and Text Classification
Text Preprocessing
Token vs. Words
Sentence Segmentation
PoS Tagging
Lemmatization and Stemming
Named Entity Recognition
Document Structure Processing
Text Representation
Vector Space Models
Feature Weighting
Similarity Coefficients
Index Term Selection
Text Classification
Naive Bayes Classifier
K-Nearest Neighbor Classifier
Support Vector Machine Classification
Evaluation Metrics
Summary
Social Semantics in Information Retrieval
Overview
Information Retrieval
Semantics
Social Semantics
The Knowledge Acquisition Bottleneck
Utilizing Feature Construction
Towards the BOW by Topic Concepts
Social Semantic Concept Clouds
Constructing Concept Knowledge
Inducing the Concept Space
From Social Networks To Social Semantic Vectors
Graph Structure of Social Networks
Constructing Social Semantic Vectors
Concluding Remarks
Evaluation of Social Network-induced Content Models
Social Semantic Relatedness
Related Work
The Measure of Wiki Semantic Relatedness
Experimental Evaluation
Concluding Remarks
Social Network-induced Topic Identification
Related Work
A Method for Open Topic Identification
Experimental Evaluation
Concluding Remarks
On Social Semantics-induced Closed Topic Categorization
Related Work
Generalized Topic Concepts for Text Categorization
Document-based Experimental Evaluation
OAI-based Experimental Evaluation
Concluding Remarks
Application Scenarios of Social Semantics
Named Entity Instance Recognition
The Algorithm to Named Entity Instance Recognition
Experimental Evaluation
Concluding Remarks
Social Semantics-induced Sentiment Analysis
Related Work
The Social Network-induced Polarity Enhancement
The German Polarities Clues
Experimental Evaluation
Concluding Remarks
Web Genre Classification
Related Work
Hypertext Type Classification Algorithm
Experimental Evaluation
Remarks
Conclusion
Outlook