Elements of information theory
Elements of information theory
Class-based n-gram models of natural language
Computational Linguistics
Training algorithms for linear text classifiers
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Statistical Models for Text Segmentation
Machine Learning - Special issue on natural language learning
Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Text classification using ESC-based stochastic decision lists
Proceedings of the eighth international conference on Information and knowledge management
Text Classification from Labeled and Unlabeled Documents using EM
Machine Learning - Special issue on information retrieval
Maximizing Text-Mining Performance
IEEE Intelligent Systems
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
TextTiling: segmenting text into multi-paragraph subtopic passages
Computational Linguistics
Document classification using a finite mixture model
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Statistical models for topic segmentation
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Fisher information and stochastic complexity
IEEE Transactions on Information Theory
Mining from open answers in questionnaire data
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Topic-based document segmentation with probabilistic latent semantic analysis
Proceedings of the eleventh international conference on Information and knowledge management
Mining Open Answers in Questionnaire Data
IEEE Intelligent Systems
Test Data Likelihood for PLSA Models
Information Retrieval
Semantic passage segmentation based on sentence topics for question answering
Information Sciences: an International Journal
VIBES: visualizing changing emotional states in personal stories
SRMC '08 Proceedings of the 2nd ACM international workshop on Story representation, mechanism and context
Feature-based segmentation of narrative documents
FeatureEng '05 Proceedings of the ACL Workshop on Feature Engineering for Machine Learning in Natural Language Processing
Topic detection by topic model induced distance using biased initiation
AST/UCMA/ISA/ACN'10 Proceedings of the 2010 international conference on Advances in computer science and information technology
Applying collocation segmentation to the ACL anthology reference corpus
ACL '12 Proceedings of the ACL-2012 Special Workshop on Rediscovering 50 Years of Discoveries
A Graph Analytical Approach for Topic Detection
ACM Transactions on Internet Technology (TOIT)
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We address the issue of 'topic analysis,' by which is determined a text's topic structure, which indicates what topics are included in a text, and how topics change within the text. We propose a novel approach to this issue, one based on statistical modeling and learning. We represent topics by means of word clusters, and employ a finite mixture model to represent a word distribution within a text. Our experimental results indicate that our method significantly outperforms a method that combines existing techniques.