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
Welcome to my repository for the British Airways Data Science Virtual Internship
Data Analytics Project of AI Trends in Tech news using Python
Create a solution that will help in identifying the type of complaint ticket raised by the customers of a multinational bank using NLP and Topic Modelling (NMF)
Este repositório contém scripts da minha monografia, em que analisei dados do MBL (Movimento Brasil Livre) no Youtube. Incluem um arquivo com tags de vídeos do canal, usadas para criar wordclouds e um arquivo de nós para análise no Gephi. Um segundo script realiza modelagem de tópicos com base nos comentários de vídeos selecionados.
Team - Brogrammers. Ideathon 2018. Won 2nd Prize
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.
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.
Customer Support Ticket Dashboard
To associate your repository with the topicmodelling topic, visit your repo's landing page and select "manage topics."