topic model
Topic Segmentation with a Structured Topic Model
... flat topic model (i.e., LDA), we assume each text has a latent topic structure that can reflect the topic coherence pattern, and the model adapts its parameters to the segments to ...
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TopicCheck: Interactive Alignment for Assessing Topic Model Stability
... made topic models accessible, cheap to com- pute, easy to deploy, but they almost always present users with a single model without any measure of uncertainty; we find few studies on topic ...
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Experts’ Retrieval with Multiword Enhanced Author Topic Model
... The existing works on author topic model- ing assume a “bag-of-words” representation. However, many semantic atomic concepts are represented by multiwords in text documents. This paper presents a ...
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Short Text Understanding by Leveraging Knowledge into Topic Model
... over Topic Coherence Met- ric are presented in Figure 2 and Figure ...our model and BTM can get high- er topic coherence score than GK-LDA and DF- LDA, which means the self-defined knowledge and the ...
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Neural Topic Model with Reinforcement Learning
... neural topic models which are typically built upon varia- tional autoencoder (VAE) with an objective of minimising the error of reconstructing original documents based on the learned latent topic ...
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Sentence Clustering using PageRank Topic Model
... PageRank Topic Model (PRTM) to estimate a multinomial distri- bution over topics θ and words φ applying the network structure analysis methods and the con- vex quadratic programming problem to Word -Co- ...
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Extended Topic Model for Word Dependency
... Topic Model such as Latent Dirichlet Allocation(LDA) makes assumption that topic assignment of different words are conditionally ...new model Extended Global Topic Random Field (EGTRF) ...
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Online topic model for Twitter considering dynamics of user interests and topic trends
... online topic models have also been pro- ...efficiently model online the top- ics and topic transitions that naturally arise in a tweet ...Their model learns the transition parameters among ...
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An Entity Topic Model for Entity Linking
... document’s topic coherence, assuming that “a mention’s referent entity should be coherent with the document’s main ...generative model – called entity- topic model, to effectively join the ...
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SSHLDA: A Semi Supervised Hierarchical Topic Model
... hierarchical topic modeling and unsupervised hierarchical topic modeling are usually used to obtain hierarchical topics, such as hLLDA and ...cal topic modeling makes heavy use of the in- formation ...
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Friend matching using probabilistic topic model
... probabilistic topic modeling; the study proposes a generative model based on LDA (Latent Dirichlet Allocation) for dimensionality ...Thus topic model can generate relevant interests of a user ...
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Temporal Topic Model for Friend Recommendation System
... temporal-topic model to predict user’s potential friends. The model initial extracts user’s topic distributions from keyword usage patterns of collective messages victimization temporal ...
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Modelling Sequential Text with an Adaptive Topic Model
... segmented topic model (STM) (Du et ...structured topic model as ...chical model. A strictly sequential model would seem unrealistic for some documents, for instance ...A ...
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Self disclosure topic model for Twitter conversations
... probabilistic topic modeling. Our self-disclosure topic model (SDTM) assumes that self-disclosure behavior can be modeled using a combination of simple linguistic features ...a topic about ...
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On line Trend Analysis with Topic Models: #twitter Trends Detection Topic Model Online
... a topic model that processes documents in an on-line ...The model has the important properties that it does not grow over time, and can cope with dynamic changes in ...the topic model, ...
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User Based Aggregation for Biterm Topic Model
... Biterm Topic Model (BTM) is designed to model the generative process of the word co-occurrence patterns in short texts such as ...same topic label could not distinguish background words from ...
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Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality
... the topic-modelled documents, and found that their measure correlates well with human judgements of observed coherence (where topics were rated in the same manner as Newman et ...the topic model, the ...
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A Latent Concept Topic Model for Robust Topic Inference Using Word Embeddings
... concept topic model (LCTM) that infers topics based on document- level co-occurrence of references to the same con- ...each topic as a distribution over the latent ...distributions model the ...
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CompareLDA: A Topic Model for Document Comparison
... a topic model based on country reports may well discover topics aligned to geographical or linguistic commonalities, which however may or may not bear direct relevance to the question at hand ...
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HTM: A Topic Model for Hypertexts
... Previously topic models such as PLSI (Prob- abilistic Latent Semantic Indexing) and LDA (Latent Dirichlet Allocation) were developed for modeling the contents of plain ...cently, topic models for processing ...
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