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

Welcome to my repository for the British Airways Data Science Virtual Internship ✈️! Here, I applied data science techniques like web scraping 🌐, sentiment analysis 😃😡, and predictive modeling 🤖 to real airline data. Join me in exploring how data insights can enhance customer experiences! 🚀

Data Analytics Project of AI Trends in Tech news using Python

Automatic topic modelling using minimal external input and computational resources

Team - Brogrammers. Ideathon 2018. Won 2nd Prize

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.

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