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Selection of the Optimal Number of Topics for LDA Topic Model—Taking Patent Policy Analysis as an Example [PDF]
Entropy, 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 ...
Jingxian Gan, Yong Qi
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An adaptive method for determining the optimal number of topics in topic modeling [PDF]
PeerJ Computer ScienceTopic models have been successfully applied to information classification and retrieval. The difficulty in successfully applying these technologies is to select the appropriate number of topics for a given corpus.
Yang Xu +3 more
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Topic models with elements of neural networks: investigation of stability, coherence, and determining the optimal number of topics [PDF]
PeerJ Computer ScienceTopic modeling is a widely used instrument for the analysis of large text collections. In the last few years, neural topic models and models with word embeddings have been proposed to increase the quality of topic solutions.
Sergei Koltcov +3 more
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Italian Journal of Animal ScienceText mining and topic analysis algorithms which group textual contents in the most efficient way, are becoming increasingly useful to summarise the main information contained in large data corpus of complex scientific fields.
Barbara Contiero +2 more
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Analysis and tuning of hierarchical topic models based on Renyi entropy approach [PDF]
PeerJ Computer Science, 2021 Hierarchical topic modeling is a potentially powerful instrument for determining topical structures of text collections that additionally allows constructing a hierarchy representing the levels of topic abstractness.
Sergei Koltcov +3 more
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Estimation of Topic Similarity and Its Application to Measuring Stability of Topic Modeling [PDF]
Jiàoyù zīliào yǔ túshūguǎn xué, 2022 Topic modeling stability is a measurement of the extent to which models produced by the same modeling approach for the same corpus and with the same initial conditions have similar topics.
Sung-Chien Lin
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A fast algorithm with minimax optimal guarantees for topic models with an unknown number of topics [PDF]
Bernoulli, 2020 We propose a new method of estimation in topic models, that is not a variation on the existing simplex finding algorithms, and that estimates the number of topics K from the observed data. We derive new finite sample minimax lower bounds for the estimation of A, as well as new upper bounds for our proposed estimator. We describe the scenarios where our
Bing, Xin +2 more
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An Adaptive LDA Optimal Topic Number Selection Method in News Topic Identification
IEEE Access, 2023 Nowadays, news text information is exploding, and people need more and more heterogeneous news content. Therefore, news text topic identification is needed to help viewers quickly and accurately screen and filter news related to their interests to save ...
Mingming Zheng +3 more
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The Number of Topics Optimization: Clustering Approach [PDF]
Machine Learning and Knowledge Extraction, 2019 Although topic models have been used to build clusters of documents for more than ten years, there is still a problem of choosing the optimal number of topics. The authors analyzed many fundamental studies undertaken on the subject in recent years. The main problem is the lack of a stable metric of the quality of topics obtained during the construction
Fedor Krasnov, Anastasiia Sen
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ISPRS International Journal of Geo-Information, 2021 Online public opinion reflects social conditions and public attitudes regarding special social events. Therefore, analyzing the temporal and spatial distributions of online public opinion topics can contribute to understanding issues of public concern ...
Qin Liang, Chunchun Hu, Si Chen
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