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Emerging topic identification from app reviews via adaptive online biterm topic modeling Research Article

Wan ZHOU, Yong WANG, Cuiyun GAO, Fei YANG,yongwang@ahpu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 5, Pages 678-691 doi: 10.1631/FITEE.2100465

Abstract: Emerging topics in highlight the topics (e.g., software bugs) with which users are concerned during certain periods. Identifying emerging topics accurately, and in a timely manner, could help developers more effectively update apps. Methods for identifying emerging topics in based on s or clustering methods have been proposed in the literature. However, the accuracy of is reduced because reviews are short in length and offer limited information. To solve this problem, an improved (IETI) approach is proposed in this work. Specifically, we adopt techniques to reduce noisy data, and identify emerging topics in using the adaptive online biterm . Then we interpret the implicature of emerging topics through relevant phrases and sentences. We adopt the official app changelogs as ground truth, and evaluate IETI in six common apps. The experimental results indicate that IETI is more accurate than the baseline in identifying emerging topics, with improvements in the F1 score of 0.126 for phrase labels and 0.061 for sentence labels. Finally, we release the codes of IETI on Github (https://github.com/wanizhou/IETI).

Keywords： App reviews Emerging topic identification Topic model Natural language processing

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Special Topic on environment and sustainable development

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 3, Pages 291-292 doi: 10.1007/s11705-017-1667-6

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Personalized topic modeling for recommending user-generated content Article

Wei ZHANG, Jia-yu ZHUANG, Xi YONG, Jian-kou LI, Wei CHEN, Zhe-min LI

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 5, Pages 708-718 doi: 10.1631/FITEE.1500402

Abstract: A generative model that combines hierarchical topic modeling and matrix factorization is proposed.results show that our model outperforms other state-of-the-art models, and can provide interpretable topic

Keywords： User-generated content (UGC) Collaborative filtering (CF) Matrix factorization (MF) Hierarchical topicmodeling

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Topicmodeling for large-scale text data

Xi-ming LI,Ji-hong OUYANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 6, Pages 457-465 doi: 10.1631/FITEE.1400352

Abstract: This paper develops a novel online algorithm, namely moving average stochastic variational inference (MASVI), which applies the results obtained by previous iterations to smooth out noisy natural gradients. We analyze the convergence property of the proposed algorithm and conduct a set of experiments on two large-scale collections that contain millions of documents. Experimental results indicate that in contrast to algorithms named ‘stochastic variational inference’ and ‘SGRLD’, our algorithm achieves a faster convergence rate and better performance.

Keywords： Latent Dirichlet allocation (LDA) Topic modeling Online learning Moving average

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Topic discovery and evolution in scientific literature based on content and citations Article

Hou-kui ZHOU, Hui-min YU, Roland HU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10, Pages 1511-1524 doi: 10.1631/FITEE.1601125

Abstract: In this paper, we propose a citation- content-latent Dirichlet allocation (LDA) topic discovery methodThe citation-content-LDA topic model exploits a two-level topic model that includes the citation informationWe also propose a topic evolution algorithm that runs in two steps: topic segmentation and topic dependencyWe have tested the proposed citation-content-LDA model and topic evolution algorithm on two online datasetsSociety (CS), to demonstrate that our algorithm effectively discovers important topics and reflects the topic

Keywords： Topic extraction Topic evolution Evaluation method

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Green Heating System——Topic of Critical Importance

Song Zhi-ping

Strategic Study of CAE 2001, Volume 3, Issue 6, Pages 9-14

Abstract:

Nowadays a topic of most concern is how to protect the global climate change and meet the increasing

Keywords： sustainable development water resource combined heat and power heat pump poly generation

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Supervised topic models with weighted words: multi-label document classification None

Yue-peng ZOU, Ji-hong OUYANG, Xi-ming LI

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 4, Pages 513-523 doi: 10.1631/FITEE.1601668

Abstract: Supervised topic modeling algorithms have been successfully applied to multi-label document classificationExperimental results demonstrate that CF-weight based algorithms are competitive with the existing supervised topic

Keywords： Supervised topic model Multi-label classification Class frequency Labeled latent Dirichlet allocation

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Seismic input of NPP & topic of seismic-isolated research for AP1000 nuclear island

Xia Zufeng

Strategic Study of CAE 2013, Volume 15, Issue 4, Pages 52-56

Abstract:

The article introduces seismic input of nuclear power plant in the world briefly, and mentions some exploratory work for seismic-isolated foundation of nuclear island in France, Japan and China. The article mainly focuses on a general concept design of nuclear island seismic-isolated foundation for AP1000 units by our institute. There are more useful information for seismic input of nuclear power plant & seismic-isolated foundation of nuclear island as a reference.

Keywords： nuclear power plant seismic design AP1000 seismic-isolated foundation

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Continuous modeling of soil morphology —thermomechanical behavior of embankment dams

Bettina ALBERS, Krzysztof WILMANSKI

Frontiers of Structural and Civil Engineering 2011, Volume 5, Issue 1, Pages 11-23 doi: 10.1007/s11709-010-0081-7

Abstract: Macroscopic modeling of soils is based on a number of properties that refer to the mesoscopic morphologyIn particular, the above mentioned features, especially saturation with water and seepage problems, modeling

Keywords： thermomechanical modeling soil morphology saturation porosity

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Cohort-based personalized query auto-completion Regular Papers-Research Articles

Dan-yang JIANG, Hong-hui CHEN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 9, Pages 1246-1258 doi: 10.1631/FITEE.1800010

Abstract: We build an individual’s interest profile by learning his/her topic preferences through topic modelsAs conventional topic models are unable to automatically learn cohorts, we propose two cohort topic modelsthat handle topic modeling and cohort discovery in the same framework.

Keywords： Query auto-completion Cohort-based retrieval Topic models

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Flow and thermal modeling of liquid metal in expanded microchannel heat sink

Frontiers in Energy Pages 796-810 doi: 10.1007/s11708-023-0877-5

Abstract: The flow and thermal modeling of expanded microchannel heat sink (E-MCHS) were analyzed by both using

Keywords： liquid metal cooling heat sink expanded microchannel flow and thermal modeling

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A framework for an integrated unified modeling language

Mohammad ALSHAYEB,Nasser KHASHAN,Sajjad MAHMOOD

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 2, Pages 143-159 doi: 10.1631/FITEE.1500094

Abstract:

The unified modeling language (UML) is one of the most commonly used modeling languages in the softwareframework for integrating the UML extensions and then use the framework to propose an integrated unified modelingThe proposed iUML-g is capable of modeling systems that use different domains.

Keywords： Unified modeling language (UML) Integration Modeling System analysis and design

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Computer modeling of crystal growth of silicon for solar cells

Lijun LIU, Xin LIU, Zaoyang LI, Koichi KAKIMOTO

Frontiers in Energy 2011, Volume 5, Issue 3, Pages 305-312 doi: 10.1007/s11708-011-0155-9

Abstract: The findings show the importance of computer modeling as an effective tool in the analysis and improvement

Keywords： computer modeling silicon crystal growth solar cells

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Lamb wave propagation modeling for structure health monitoring

Xiaoyue ZHANG, Shenfang YUAN, Tong HAO

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 3, Pages 326-331 doi: 10.1007/s11465-009-0045-6

Abstract: The local interaction simulation approach, used for modeling sharp interfaces and discontinuities inThis modeling is based on the local interaction simulation approach theory and is finally accomplishedFinally, the Lamb waves propagation modeling is implemented.

Keywords： Lamb wave modeling LISA/SIM theory finite difference equation finite element