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WhatsApp: +86 18221755073This work proposes a new literature topic clustering analysis framework, based on which the topics of digital-economy-related studies are condensed. First, we calculated the word vector of keywords using the FastText model, and then the keywords were merged according to semantic similarity. A hierarchical clustering method based on …
WhatsApp: +86 18221755073Summary form only given. It's been more than 10 years since the PJM's first energy market started operation. The data volume associated with market development increases significantly. These data can be categorized as public, market sensitive, private and intermediate types. Many market participants use different kinds of data mining …
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WhatsApp: +86 18221755073DOI: 10.1016/J.IEDEEN.2017.06.002 Corpus ID: 3280510; Research trends on Big Data in Marketing: A text mining and topic modeling based literature analysis @article{Amado2018ResearchTO, title={Research trends on Big Data in Marketing: A text mining and topic modeling based literature analysis}, author={Alexandra Amado and P. …
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WhatsApp: +86 18221755073Using 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 among marketing scholars and practitioners to adopt topic models in various …
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WhatsApp: +86 18221755073By applying text-mining technology to journal articles, marketing researchers have identified the historical trends of popular research topics and thereby predicted the future direction of marketing science. ... most frequently cited topics are 'CSR,' 'psychometrics,' 'customer satisfaction,' and a group of digital marketing topics ...
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WhatsApp: +86 182217550736 Topic modeling. In text mining, we often have collections of documents, such as blog posts or news articles, that we'd like to divide into natural groups so that we can understand them separately. Topic modeling is a method for unsupervised classification of such documents, similar to clustering on numeric data, which finds natural groups ...
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WhatsApp: +86 18221755073This data mining project is an evergreen topic in the USA. Find the dataset here. 5) Credit Card Fraud Detection. With the increase in online transactions, credit card fraud has also increased. Banks are trying to handle this issue using data mining techniques. ... Web Click Prediction, and Air BNB Market Analysis for your first data …
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