Applied patent mining with topic models and meta-data: A comprehensive case study

2021 ◽  
Vol 67 ◽  
pp. 102065
Author(s):  
Georg Pölzlbauer ◽  
Erwin Auer
Keyword(s):  
Topic Models ◽  
Meta Data ◽  
Patent Mining

Mining Twitter to Inform the Design of Online Interventions for Hispanic Alzheimer’s Disease and Related Dementias Caregivers

2019 ◽  
Vol 18 (3) ◽  
pp. 138-143 ◽  
Author(s):  
Sunmoo Yoon ◽  
Robert Lucero ◽  
Mary S. Mittelman ◽  
José A. Luchsinger ◽  
Suzanne Bakken
Keyword(s):  
Social Support ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Structural Changes ◽  
Topic Models ◽  
Network Size ◽  
Self Management ◽  
Content Mining ◽  
Using Data

Background/Objective: Hispanics are about 1.5 times as likely as non-Hispanic Whites to experience Alzheimer’s disease and related dementias (AD/ADRD). Eight percent of AD/ADRD caregivers are Hispanics. The purpose of this article is to provide a methodological case study of using data mining methods and the Twitter platform to inform online self-management and social support intervention design and evaluation for Hispanic AD/ADRD caregivers. It will enable other researchers to replicate the methods for their phenomena of interest. Method: We extracted an analytic corpus of 317,658 English and Spanish tweets, applied content mining (topic models) and network structure analysis (macro-, meso-, and micro-levels) methods, and created visualizations of results. Results: The topic models showed differences in content between English and Spanish tweet corpora and between years analyzed. Our methods detected significant structural changes between years including increases in network size and subgroups, decrease in proportion of isolates, and increase in proportion of triads of the balanced communication type. Discussion/Conclusion: Each analysis revealed key lessons that informed the design and/or evaluation of online self-management and social support interventions for Hispanic AD/ADRD caregivers. These lessons are relevant to others wishing to use Twitter to characterize a particular phenomenon or as an intervention platform.

Topic modelling for qualitative studies

2016 ◽  
Vol 43 (1) ◽  
pp. 88-102 ◽  
Author(s):  
Sergey I. Nikolenko ◽  
Sergei Koltcov ◽  
Olessia Koltsova
Keyword(s):  
Media Studies ◽  
Latent Dirichlet Allocation ◽  
Topic Models ◽  
Qualitative Studies ◽  
Sociological Research ◽  
Topic Modelling ◽  
Topic Extraction ◽  
Quality Metric ◽  
Opinion Analysis

Qualitative studies, such as sociological research, opinion analysis and media studies, can benefit greatly from automated topic mining provided by topic models such as latent Dirichlet allocation (LDA). However, examples of qualitative studies that employ topic modelling as a tool are currently few and far between. In this work, we identify two important problems along the way to using topic models in qualitative studies: lack of a good quality metric that closely matches human judgement in understanding topics and the need to indicate specific subtopics that a specific qualitative study may be most interested in mining. For the first problem, we propose a new quality metric, tf-idf coherence, that reflects human judgement more accurately than regular coherence, and conduct an experiment to verify this claim. For the second problem, we propose an interval semi-supervised approach (ISLDA) where certain predefined sets of keywords (that define the topics researchers are interested in) are restricted to specific intervals of topic assignments. Our experiments show that ISLDA is better for topic extraction than LDA in terms of tf-idf coherence, number of topics identified to predefined keywords and topic stability. We also present a case study on a Russian LiveJournal dataset aimed at ethnicity discourse analysis.

An Empirical Study on the Effect of Testing on Code Quality Using Topic Models: A Case Study on Software Development Systems

2017 ◽  
Vol 66 (3) ◽  
pp. 806-824 ◽  
Author(s):  
Tse-Hsun Chen ◽  
Stephen W. Thomas ◽  
Hadi Hemmati ◽  
Meiyappan Nagappan ◽  
Ahmed E. Hassan
Keyword(s):  
Empirical Study ◽  
Software Development ◽  
Topic Models ◽  
Code Quality

scholarly journals The impacts of Meta Data Management on Social Dynamics: A Research Case Study

2021 ◽  
Author(s):  
◽  
Torrance Mayberry
Keyword(s):  
Data Management ◽  
Management Practices ◽  
Social Dynamics ◽  
Complex Phenomenon ◽  
Critical Importance ◽  
Meta Data ◽  
Cognitive Ethnography ◽  
The Social ◽  
Emerging Themes

<p>Meta data management practices often overlook the role social dynamics play in harnessing the value of an organisation’s unique business language and the behaviours it creates. Using evidence from literature, interviews and cognitive ethnography, this research case sets out to explain the impacts of meta data management on social dynamics. The emerging themes (that is, newness, continual adaption, engagement tension, production tension, inefficiency and unreliability) represent salient factors by which organisations can be constrained in exploiting the worth of their meta data. This research emphasises the critical importance of organisations having a deeper understanding of the purpose and meaning of information. This understanding is a strength for creating value and for exploiting the worth arising in networks and in the social dynamics created within those networks. This strength contributes to organisations’ economic growth and is interdependent with their ability to manage complex phenomenon in a growing interconnected society.</p>

Meta(data)morphosis

2016 ◽  
Author(s):  
Ashley M. Clark ◽  
Sarah Connell
Keyword(s):  
Women Writers ◽  
Human Intervention ◽  
Meta Data ◽  
Web Based ◽  
The Subject ◽  
The Creation

This article offers a case study in the creation and metamorphosis of a corpus of transcriptions intended for web publication. It discusses a process for encoding, proofing, and publishing a collection of brief periodical documents (largely reviews) on the subject of authors published in the Women Writers Project’s established Women Writers Online corpus, as part of an initiative investigating the transatlantic reception of early women’s texts. Both encoding and publication in the initiative, Cultures of Reception, were driven by the particular characteristics of this collection and the importance of establishing links to the existing materials in Women Writers Online. This article discusses steps that the Cultures of Reception team took to prepare the encoded texts for publication—including development of a web-based tool systematizing human intervention—and then explains the goals and design of Women Writers in Review, the interface that is used to publish these texts.

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