Team - Brogrammers. Ideathon 2018. Won 2nd Prize
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Updated
Dec 8, 2022 - HTML
Team - Brogrammers. Ideathon 2018. Won 2nd Prize
Este repositΓ³rio contΓ©m scripts da minha monografia, em que analisei dados do MBL (Movimento Brasil Livre) no Youtube. Incluem um arquivo com tags de vΓdeos do canal, usadas para criar wordclouds e um arquivo de nΓ³s para anΓ‘lise no Gephi. Um segundo script realiza modelagem de tΓ³picos com base nos comentΓ‘rios de vΓdeos 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.
Data Analytics Project of AI Trends in Tech news using Python
Todo lo accesorio y entorno al proyecto sobre AnΓ‘lisis de textos con R
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.
Finding trends in news article with Spark (MLLIB, LDA), Spark-Solr, Solr
Customer Support Ticket Dashboard
Automatic topic modelling using minimal external input and computational resources
Welcome to my repository for the British Airways Data Science Virtual Internship
Determine a Prototype from a number of runs of Latent Dirichlet Allocation.
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."