Results 1 to 10 of about 23,589,100 (342)

Selection of the Optimal Number of Topics for LDA Topic Model-Taking Patent Policy Analysis as an Example. [PDF]

Entropy (Basel), 2021
This study constructs a comprehensive index to effectively judge the optimal number of topics in the LDA topic model. Based on the requirements for selecting the number of topics, a comprehensive judgment index of perplexity, isolation, stability, and ...
Gan J, Qi Y.
europepmc   +2 more sources

Tree-Structured Neural Topic Model [PDF]

Annual Meeting of the Association for Computational Linguistics, 2020
This paper presents a tree-structured neural topic model, which has a topic distribution over a tree with an infinite number of branches. Our model parameterizes an unbounded ancestral and fraternal topic distribution by applying doubly-recurrent neural ...
Masaru Isonuma, Junichiro Mori, Danushka Bollegala, Ichiro Sakata   +3 more
openalex   +2 more sources

Application of Topic Models in the Analysis of Public Policy: A Review of the Research Status in Domestic and Foreign

Zhishi guanli luntan, 2020
[Purpose/significance] This paper comprehensively summarizes the application of topic models in public policy texts, which helps researchers learn from existing research results and provides theoretical and practical support
Long Yixuan , Yi Huifang
doaj   +2 more sources

ATM: Adversarial-neural Topic Model [PDF]

Information Processing & Management, 2019
Published at the journal Information Processing & ...
Wang, Rui, Zhou, Deyu, He, Yulan
openaire   +4 more sources

SMART: spatial transcriptomics deconvolution using marker-gene-assisted topic model. [PDF]

Genome Biol
Yang CX, Sin DD, Ng RT.
europepmc   +3 more sources

Keyword Assisted Embedded Topic Model [PDF]

Web Search and Data Mining, 2021
By illuminating latent structures in a corpus of text, topic models are an essential tool for categorizing, summarizing, and exploring large collections of documents.
Bahareh Harandizadeh, Fred Morstatter
semanticscholar   +1 more source

BERTopic: Neural topic modeling with a class-based TF-IDF procedure [PDF]

arXiv.org, 2022
Topic models can be useful tools to discover latent topics in collections of documents. Recent studies have shown the feasibility of approach topic modeling as a clustering task.
M. Grootendorst
semanticscholar   +1 more source

A Topic Coverage Approach to Evaluation of Topic Models

IEEE Access, 2021
Topic models are widely used unsupervised models capable of learning topics – weighted lists of words and documents – from large collections of text documents.
Damir Korencic, Strahil Ristov, Jelena Repar, Jan Snajder   +3 more
doaj   +1 more source

Topic Model or Topic Twaddle? Re-evaluating Semantic Interpretability Measures

North American Chapter of the Association for Computational Linguistics, 2021
When developing topic models, a critical question that should be asked is: How well will this model work in an applied setting? Because standard performance evaluation of topic interpretability uses automated measures modeled on human evaluation tests ...
C. Doogan, Wray L. Buntine
semanticscholar   +1 more source

Topic Model Combining Topic Word Embedding and Attention Mechanism [PDF]

Jisuanji gongcheng, 2020
With the popularity of social software,mining effective information from massive digital documents has been a hotspot.The classic topic models including LDA and LSA capture topic information based on word co-occurrence and ignore the context information ...
QIN Tingting, LIU Zheng, CHEN Kejia
doaj   +1 more source