A Technical Article Series for Data Architects This multi-part article series is intended for data architects and anyone else interested…
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Real-World Machine Learning Case Study: Clustering Transactions Based on Text Descriptions
Introduction We are living in the era of digital technologies. When was the last time you walked into a shop…
Continue ReadingModels for Thinking: An Example of Why Data Sciences Increasingly Need the Humanities
The answer, often, is to configure them into abstract but coherent topics. As a consequence, the software-based output of your…
Continue ReadingHow to create a MySQL view
How to create a MySQL viewSoon Sam SantosBlockedUnblockFollowFollowingJun 23Photo by Markus Spiske on UnsplashIn this tutorial I am going to teach you…
Continue ReadingMmmm Foodporn! A Clustering and Classification Study using Natural Language Processing
To find out, I clustered my data (using K-Means) repeatedly, increasing my number of clusters and plotting the silhouette score…
Continue ReadingAnalyzing Hidden Themes in Retracted Biomedical Literature
that we expect in the corpus. Then LDA randomly assigns topic to each word in each document. Next, it goes…
Continue ReadingEnd-To-End Topic Modeling in Python: Latent Dirichlet Allocation (LDA)
End-To-End Topic Modeling in Python: Latent Dirichlet Allocation (LDA)Shashank KapadiaBlockedUnblockFollowFollowingApr 14Topic Model: In a nutshell, it is a type of…
Continue ReadingLog Compacted Topics in Apache Kafka
Log Compacted Topics in Apache KafkaSeyed Morteza MousaviBlockedUnblockFollowFollowingApr 12When I had begun reading Kafka documentation, although log compacted topic seemed a…
Continue ReadingOvercoming the limitations of topic models with a semi-supervised approach
Overcoming the limitations of topic models with a semi-supervised approachPatrick van KesselBlockedUnblockFollowFollowingApr 10In two earlier posts on this blog, I…
Continue ReadingCreating a Kafka Topic Running Kafka Brokers
Creating a Kafka Topic Running Kafka BrokersPackt_PubBlockedUnblockFollowFollowingMar 13Learn how to run Kafka topics using Kafka brokers in this article by Raúl…
Continue ReadingLDA Topic Modeling: An Explanation
LDA Topic Modeling: An ExplanationTyler DollBlockedUnblockFollowFollowingJun 24, 2018Photo by Patrick Tomasso on UnsplashBackgroundTopic modeling is the process of identifying topics in…
Continue ReadingHow I built a Cannabis Recommendation app using Topic Models and Latent Dirchlet Allocation (LDA) ~Non-Technical ~
For instance, if we had a document with three words in it, “dog eats food”, each word would be converted…
Continue ReadingAnalyzing Information Flow within a Twitter (Ego-)Community
In other words, what information is flowing and persisting in these communities?Information Systems and Data Science often come hand in…
Continue ReadingText Mining 101: A Stepwise Introduction to Topic Modeling using Latent Semantic Analysis (using Python)
Source: confessionsofabookgeek.com Have a look at the below text snippet: As you might gather from the highlighted text, there are…
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