[PDF] Top 20 A Semantic Cover Approach for Topic Modeling
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A Semantic Cover Approach for Topic Modeling
... novel approach to topic modeling which is conceptually simple and highly ...Our approach is based on two hypotheses about the nature of short texts, such as tweets: first, that such texts can ... See full document
11
Semantic Retrieval of Web Documents using Topic Modeling Based Weighted Nearest Neighborhood Technique
... approach with corresponding ontology is explained. M. Shams, A.Baraani, [4] In this work the co-word occurrence is dealt with. The authors have introduced Enriched LDA (ELDA): Combination of latent Dirichlet ... See full document
6
Tandem Anchoring: a Multiword Anchor Approach for Interactive Topic Modeling
... Interactive topic models are powerful tools for understanding large collections of ...active topic modeling approaches scale poorly to large data ...a topic, offer the speed needed for ... See full document
10
Semantic Topics Modeling Approach for Community Detection
... In social networks, communities between individual are constructed by specifying and establishing friendship connections with each other. The link-based methods aim to find communities such that the friendship ... See full document
9
A Maximum Entropy Approach for Semantic Language Modeling
... language modeling was composed of 5,500 Chinese articles (1,746,978 words in total) of the TDT2 Corpus, which were collected from the XinHua News Agency [Cieri et ...cross-media Topic Detection and Tracking ... See full document
20
Employing Topic Models for Pattern based Semantic Class Discovery
... one semantic class for a given ...ad-hoc approach was proposed to discover the multiple semantic classes for one ...of topic modeling, maybe the efforts of using topic model for ... See full document
9
Title: User Document Recommendation Using Pattern Modeling
... more semantic significance than ...consolidating topic models with pattern mining ...based topic representations of a customary topic model, for example, the lda model ...the topic ... See full document
9
Adaptive Language Modeling for Word Prediction
... of topic adaptation have been successful in word prediction (Li and Hirst, 2005; Wandmacher and Antoine, 2007) and speech recognition (Bellegarda, 2000; Mahajan et ...the topic mod- eling approach ... See full document
6
Topic Adaptation for Lecture Translation through Bilingual Latent Semantic Models
... simplified approach to bilingual topic modeling for language model adaptation by combining text in the source and target language into very short documents and performing Probabilistic Latent ... See full document
9
A Topic Modeling Guided Approach for Semantic Knowledge Discovery in e-Commerce
... A graph based commonsense concept extraction and detection of semantic similarity [11] was introduced which uses a manually labeled dataset containing 200 multi-word concept pairs for evaluating their proposed ... See full document
8
Semantic Language Models for Topic Detection and Tracking
... new semantic lan- guage modeling approach to model news sto- ries in the Topic Detection and Tracking (TDT) ...new approach, we build a unigram language model for each semantic ... See full document
6
Semantic Frame-based Statistical Approach for Topic Detection
... As for the topics “Sports” and “Health”, we spec- ulate that the NEs of athletes or disease names and other organizations are common among these arti- cles. Thus, the frames in these topics are very exten- sive, leading ... See full document
10
Ontology modeling for generation of clinical pathways
... as semantic units representing an agent, affordance or role ...a semantic context within which the behavioural patterns of the dependent concepts are ... See full document
15
Topic Models and Fusion Methods: a Union to Improve Text Clustering and Cluster Labeling
... unsupervised approach, needless of any external knowledge, with the aim of overcoming the two main problems about sparse vector and traditional LDA representation explained ...real semantic information ... See full document
7
Social influence analysis in microblogging platforms A topic sensitive based approach
... our approach for the semantic enrichment of tweets’ content and the derivation of triples for gen- erating semantic ...the Semantic Web community using tweets and similar work within the field ... See full document
17
Interactive Topic Modeling
... Each topic has a top-level dis- tribution over words and constraints, and each con- straint in each topic has second-level distribution over the words in the ... See full document
10
Crime topic modeling
... traditional topic modeling methods, the situation with crime parallels the idea that a single Tweet may draw on a mixture of dif- ferent topics, while a single topic may be distributed across many ... See full document
20
Land Cover Annual Topic Update 1999 Topic Report no 4/2000
... land cover topic are carried out and funded separately by the Joint Research Centre, Space Application ...PHARE Topic Link on Land Cover (PTL/LC, financed by the DG Enlargement Phare ... See full document
25
A Graph Based Semi Supervised Learning for Question Semantic Labeling
... extracting semantic components like answer type, focus, event, ...extract topic-focus from questions, (Ha- jicova et ...explored semantic units based on their discourse relations via rule-based ... See full document
9
Calculus for the Life Sciences: A Modeling Approach Volume 1
... Many biological relations may be described by equations — linear, quadratic, hyperbolic, exponential, and logarithmic. These together with the trigonometric equations cover most of the commonly encountered ... See full document
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