An Interactive System for Visual Analytics of Dynamic Topic Models

Günnemann, Nikou; Derntl, Michael; Klamma, Ralf; Jarke, Matthias

doi:10.1007/s13222-013-0134-x

Cited by 10 publications

(6 citation statements)

References 5 publications

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“…Our next steps are to realize the identified requirements. In terms of analysis metrics, the OSS members wish topic-based text mining [GDKJ13] measures, with the goal to see where users struggle. Considering the data, there are many requests to extend the data sources, for example by the data from GitHub.…”

Section: Discussionmentioning

confidence: 99%

Navigation Support in Evolving Open-Source Communities by a Web-Based Dashboard

Hannemann¹,

Liiva²,

Klamma³

2014

Open Source Software: Mobile Open Source Technologies

Self Cite

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Part 1: Open Source Visualization and ReportingInternational audienceThe co-evolution of communities and systems in open-source software (OSS) projects is an established research topic. There are plenty of different studies of OSS community and system evolution available. However, most of the existing OSS project visualization tools provide source code oriented metrics with little support for communities. At the same time, self-reflection helps OSS community members to understand what is happening within their community. Considering missing community-centered OSS visualizations, we investigated the following research question: Are the OSS communities interested in a visualization platform, which reflects community evolution? If so, what aspects should it reflect?To answer this research question, we first conducted an online survey within different successful OSS communities. The results of our evaluation showed that there is a great interest in community-centered statistics. Therefore, we developed an OSS navigator: a Web-based dashboard for community-oriented reflection of OSS projects. The navigator was filled with data from communication and development repositories of three large bioinformatics OSS projects. The members of these OSS communities tested the prototype. The bioinformatics OSS developers acknowledged the uniqueness of statistics that the NOSE dashboard offers. Especially, graph visualization of the project social network received the highest attention. This network view combined with other community-oriented metrics can significantly enhance the existing visualizations or even be provided as a standalone tool

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Section: Discussionmentioning

confidence: 99%

Navigation Support in Evolving Open-Source Communities by a Web-Based Dashboard

Hannemann¹,

Liiva²,

Klamma³

2014

Open Source Software: Mobile Open Source Technologies

Self Cite

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“…While there is prior work on improving the scalability of the dynamic topic model (e.g., [3]) and visualization of the dynamic topics (e.g., [9]), we sought a simplified model that is more tailored towards mining media news over a short time interval. To this end, we have proposes the second model, called MixMedia.…”

Section: Proposed Model 2: Mixmediamentioning

confidence: 99%

“…Specifically, we draw a sample of the latent variables from ( ) (7), ( ) (8), ( ) (5) based on a minibatch of data. We then use those draws as the noisy estimates of the variational expectation for the ELBO (9). We up-weight the ELBO by a factor that is equal to the ratio of the full training data over the batch size.…”

Section: Model Inferencementioning

confidence: 99%

Global Surveillance of COVID-19 by mining news media using a multi-source dynamic embedded topic model

Nair

Wen

et al. 2020

Proceedings of the 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics

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“…In addition, the presentation of results from topic models has become another promising direction [ 26 ]. Some tools have been designed to visualize trend analysis of dynamic topic models [ 27 , 28 ].…”

Section: Introductionmentioning

confidence: 99%

Revealing topics and their evolution in biomedical literature using Bio-DTM: a case study of ginseng

Chen

Liao

et al. 2017

Chin Med

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Background: Valuable scientific results on biomedicine are very rich, but they are widely scattered in the literature. Topic modeling enables researchers to discover themes from an unstructured collection of documents without any prior annotations or labels. In this paper, taking ginseng as an example, biological dynamic topic model (Bio-DTM) was proposed to conduct a retrospective study and interpret the temporal evolution of the research of ginseng. Methods:The system of Bio-DTM mainly includes four components, documents pre-processing, bio-dictionary construction, dynamic topic models, topics analysis and visualization. Scientific articles pertaining to ginseng were retrieved through text mining from PubMed. The bio-dictionary integrates MedTerms medical dictionary, the second edition of side effect resource, a dictionary of biology and HGNC database of human gene names (HGNC). A dynamic topic model, a text mining technique, was used to emphasize on capturing the development trends of topics in a sequentially collected documents. Besides the contents of topics taken on, the evolution of topics was visualized over time using ThemeRiver. Results:From the topic 9, ginseng was used in dietary supplements and complementary and integrative health practices, and became very popular since the early twentieth century. Topic 6 reminded that the planting of ginseng is a major area of research and symbiosis and allelopathy of ginseng became a research hotspot in 2007. In addition, the Bio-DTM model gave an insight into the main pharmacologic effects of ginseng, such as anti-metabolic disorder effect, cardioprotective effect, anti-cancer effect, hepatoprotective effect, anti-thrombotic effect and neuroprotective effect. Conclusion:The Bio-DTM model not only discovers what ginseng's research involving in but also displays how these topics evolving over time. This approach can be applied to the biomedical field to conduct a retrospective study and guide future studies.

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An Interactive System for Visual Analytics of Dynamic Topic Models

Cited by 10 publications

References 5 publications

Navigation Support in Evolving Open-Source Communities by a Web-Based Dashboard

Navigation Support in Evolving Open-Source Communities by a Web-Based Dashboard

Global Surveillance of COVID-19 by mining news media using a multi-source dynamic embedded topic model

Revealing topics and their evolution in biomedical literature using Bio-DTM: a case study of ginseng

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