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A Discriminative Topic Model using Document Network Structure
... To model these intuitions, we introduce a new topic model for documents situated within a net- work structure, integrating latent blocks of documents with a max-margin learning criterion for ... See full document
11
Multi Document Summarization Using A* Search and Discriminative Learning
... the model has a high score under the evaluation ...the model with a constraint on the maximum summary ...large document sets composed of many ... See full document
10
BeamSeg: A Joint Model for Multi Document Segmentation and Topic Identification
... The topic iden- tification patterns are similar to the ones observed in the AVL dataset with BeamSeg outputting more topics than Louvain, 70 and 48 topics, respec- ...the topic structure ...the ... See full document
11
Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers
... NB network, where additional edges are added between attributes in order to relax some of the most flagrant conditional independence properties of ...1-tree network is shown in Figure 1b. A TAN ... See full document
38
An Automatic Approach for Document level Topic Model Evaluation
... and topic allocations to individual documents (in the form of multinomial distributions over top- ics), and provide a powerful means of document collection navigation and visualisation (Newman et ... See full document
10
An Extractive Summarization of Document Using Conceptual Mining and Sentence Ranking
... based model a test text document of any four topic (computer network, data mining, machine learning, image processing) is given as input, and the output will be the topic detection of ... See full document
8
Structural Topic Model for Latent Topical Structure Analysis
... Structural Topic Model (strTM) and discuss how it captures the latent topics and topical structures within the docu- ments ...that document ex- hibits internal structures, where structural segments ... See full document
10
Topic Modeling and Recommendation Generation Using Bag-of-Discriminative-Words (BoDW)
... SLDA model are used for classification and ...LDA model with visual feature extraction technique is also implemented for multimedia data ...regression model. Microblog recommendations are generated ... See full document
5
Dynamic and Static Topic Model for Analyzing Time Series Document Collections
... “sports” topic must have the “baseball” topic and the “football” topic as its ...static structure of topics helps us understand the relationship among ... See full document
5
Detecting “Smart” Spammers on Social Network: A Topic Model Approach
... most discriminative feature sets according to Lee et ...comparisons. Using Adaboost, our LOSS+GOSS features outperform all other features except for UFN which is 2% higher than ours with regard to precision ... See full document
6
A preliminary study on automatic identification of patient smoking status in unstructured electronic health records
... system using rule-based, unsupervised and supervised machine learning techniques to automatically identify the smoking status of patients in unstructured ...per-document topic model ... See full document
5
Summarization of Multi Document Topic Hierarchies using Submodular Mixtures
... DAG-structured topic hierarchies over a given set of ...documents using the topic hierarchy as features, we directly pose the problem as a submodular optimization problem on a topic hierarchy ... See full document
11
Discriminative Deep Random Walk for Network Classification
... relational model to analyze social net- ...group model for relational data, which dis- covers and exploits the hidden structures respon- sible for the observed autocorrelation among class ...labeled ... See full document
10
Augmenting word2vec with latent Dirichlet allocation within a clinical application
... of topic modelling also discovers la- tent semantic structures or topics in a ...each document to be a prob- ability distribution over hidden topics, and each topic is a probability distribution over ... See full document
5
International Journal of Computer Science and Mobile Computing
... The structure of the Topic-Aspect Model is very malleable and can be easily altered to suit the needs of a particular ...rigid model is desired, or for more flexibility x could also depend on ... See full document
14
Conversation Trees: A Grammar Model for Topic Structure in Forums
... the topic aspect of text and ...explicit structure such as paragraphs and ...of topic segments (Hearst, 1994; Utiyama and Isahara, 2001; Galley et ...regular structure (Chen et ...same ... See full document
11
Reflecting trends in the academic landscape of sustainable energy using probabilistic topic modeling
... Second, using the TreeTagger software [104–106] and the koRpus package [107], a part-of-speech (POS) model served for identifying the grammatical structure of sentences in order to discard irrelevant ... See full document
23
Birds of a Feather Linked Together: A Discriminative Topic Model using Link based Priors
... similar topic distribu- tions, assigns each cluster its own separate Dirich- let prior over the cluster’s topic ...shown document-topic priors to be useful in encoding various types of prior ... See full document
6
Similar Document Retrieval using Pattern-Based Topic Modelling for Information Filtering
... The user interest modelling is a process to understand the user’s information needs based on the most relevant information that can be found and delivered to the user. In order to extract precise user’s interests, ... See full document
5
Controlling Contents in Data to Document Generation with Human Designed Topic Labels
... language model. Con- ventional data-to-text model is useful when a reader seeks a global summary of data be- cause it has only to describe an important part that has been extracted ...a model to ... See full document
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