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
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.
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)
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.
Customer Support Ticket Dashboard
Data Analytics Project of AI Trends in Tech news using Python
Automatic topic modelling using minimal external input and computational resources
Welcome to my repository for the British Airways Data Science Virtual Internship
Todo lo accesorio y entorno al proyecto sobre Análisis de textos con R
Determine a Prototype from a number of runs of Latent Dirichlet Allocation.
Finding trends in news article with Spark (MLLIB, LDA), Spark-Solr, Solr
A rolling version of the Latent Dirichlet Allocation.
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."