Topic modeling in marketing: recent advances and research opportunities
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Business Economics"
DOI: 10.1007/s11573-018-0915-7
Abstract: Using a probabilistic approach for exploring latent patterns in high-dimensional co-occurrence data, topic models offer researchers a flexible and open framework for soft-clustering large data sets. In recent years, there has been a growing interest… read more here.
Keywords: research; topic models; modeling marketing; topic modeling ... See more keywords
Visual topic models for healthcare data clustering
Sign Up to like & getrecommendations! Published in 2021 at "Evolutionary Intelligence"
DOI: 10.1007/s12065-019-00300-y
Abstract: Social media is a great source to search health-related topics for envisages solutions towards healthcare. Topic models originated from Natural Language Processing that is receiving much attention in healthcare areas because of interpretability and its… read more here.
Keywords: visual topic; topic models; healthcare data; data clustering ... See more keywords
A topic models based framework for detecting and forecasting emerging technologies
Sign Up to like & getrecommendations! Published in 2021 at "Technological Forecasting and Social Change"
DOI: 10.1016/j.techfore.2020.120366
Abstract: Abstract The identification of emerging technologies can bring valuable intelligence to enterprises and countries determining research and development (R&D) priorities. Emerging technologies are closely related to emerging topics in terms of several well-documented attributes: relatively… read more here.
Keywords: emerging technologies; topic models; indicator; detecting forecasting ... See more keywords
Recognizing driving styles based on topic models
Sign Up to like & getrecommendations! Published in 2019 at "Transportation Research Part D: Transport and Environment"
DOI: 10.1016/j.trd.2018.05.002
Abstract: Abstract With the explosion of information in our current era, senders of information increasingly need to target their messages to recipients. However, messages within transportation systems, including traffic information and commercial advertisements, tend to be… read more here.
Keywords: based topic; recognizing driving; styles based; driving styles ... See more keywords
Can you fixme? An intrinsic classification of contributor-identified spatial data issues using topic models
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2021.1893323
Abstract: ABSTRACT Assessing OpenStreetMap (OSM) data quality against authoritative data sources may not always be viable. This is primarily because of the multi-dimensional nature and heterogeneity of the maps, yet the activity is pivotal for targeted… read more here.
Keywords: classification; data quality; issue; quality ... See more keywords
Application of topic models to a compendium of ChIP-Seq datasets uncovers recurrent transcriptional regulatory modules
Sign Up to like & getrecommendations! Published in 2020 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btz975
Abstract: MOTIVATION The availability of thousands of genome-wide ChIP-Seq datasets across hundreds of transcriptional factors (TFs) and cell lines provides an unprecedented opportunity to jointly analyze large-scale transcription factor binding in vivo, making possible the discovery… read more here.
Keywords: chip seq; seq datasets; topic models; tflda ... See more keywords
Bayesian Sparse Topical Coding
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2018.2847707
Abstract: Sparse topic models (STMs) are widely used for learning a semantically rich latent sparse representation of short texts in large scale, mainly by imposing sparse priors or appropriate regularizers on topic models. However, it is… read more here.
Keywords: bayesian sparse; topical coding; topic models; sparse ... See more keywords
PGeoTopic: A Distributed Solution for Mining Geographical Topic Models
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2020.2989142
Abstract: Geographical topic models have been used to mine geo-tagged documents for topical region and geographical topics, and also have applications in recommendations, user mobility modeling, event detection, etc. Existing studies focus on learning effective geographical… read more here.
Keywords: topic models; topic; geographical topic; distributed solution ... See more keywords
Deterministic Inference of Topic Models via Maximal Latent State Replication
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2020.3000559
Abstract: Probabilistic topic models, such as latent dirichlet allocation (LDA), are often used to discover hidden semantic structure of a collection of documents. In recent years, various inference algorithms have been developed to cope with learning… read more here.
Keywords: deterministic inference; state; inference topic; topic models ... See more keywords
An Empirical Study on the Effect of Testing on Code Quality Using Topic Models: A Case Study on Software Development Systems
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Reliability"
DOI: 10.1109/tr.2017.2699938
Abstract: Previous research in defect prediction has proposed approaches to determine which files require additional testing resources. However, practitioners typically create tests at a higher level of abstraction, which may span across many files. In this… read more here.
Keywords: defect prone; topic models; study; case ... See more keywords
A network approach to topic models
Sign Up to like & getrecommendations! Published in 2018 at "Science Advances"
DOI: 10.1126/sciadv.aaq1360
Abstract: A new approach to topic models finds topics through community detection in word-document networks. One of the main computational and scientific challenges in the modern age is to extract useful information from unstructured texts. Topic… read more here.
Keywords: approach topic; topic models; network approach; community detection ... See more keywords