A rolling version of the Latent Dirichlet Allocation.
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Updated
Nov 27, 2023 - R
A rolling version of the Latent Dirichlet Allocation.
Determine a Prototype from a number of runs of Latent Dirichlet Allocation.
Finding trends in news article with Spark (MLLIB, LDA), Spark-Solr, Solr
Todo lo accesorio y entorno al proyecto sobre Análisis de textos con R
Automatic topic modelling using minimal external input and computational resources
Team - Brogrammers. Ideathon 2018. Won 2nd Prize
This project tests if machine learning provides a sufficient accuracy level for predicting topic classification on unseen text. LDA and Naive Bayes algorithms used. Data cleaned and uploaded to AWS S2 storage and imported to google colab using PySpark for analysis.
Develop a model which will make it possible to identify specific subject matter being discussed/present on web pages by using a combination of web crawling and natural language processing.
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Add a description, image, and links to the topicmodelling topic page so that developers can more easily learn about it.
To associate your repository with the topicmodelling topic, visit your repo's landing page and select "manage topics."