Optimization of Topic Models using Grid Search Method

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oferecido por
Coursera Project Network
Neste Projeto Guiado, você irá:

Necessity for optimization of Topic Models

Grid Search Method for optimizing Topic Models

Evaluate a best fit model - Compare model parameters and goodness of model scores from basic model

Clock2 Hours
CloudSem necessidade de download
VideoVídeo em tela dividida
Comment DotsInglês
LaptopApenas em desktop

In this 2-hour long project-based course, you will learn how to optimize a topic model to achieve best fit using Grid Search method. Topic modelling is an efficient unsupervised machine learning tool that aids in analyzing the latent themes from text datasets. But it is also necessary to learn to optimize the models to obtain the best fit model in order to achieve better interpretable themes to gain meaningful insights. In this project you will learn about the statistical parameters to gauge the model quality and create interactive visualization of the themes for a more intuitive evaluation of topic models. The focus of this project is primarily from an application point of view instead of underlying statistical mechanisms. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Habilidades que você desenvolverá

Topic Modelmodel optimizationHyperparameter OptimizationApplied Machine Learning

Aprender passo a passo

Em um vídeo reproduzido em uma tela dividida com a área de trabalho, seu instrutor o orientará sobre esses passos:

  1. Introduction

  2. Clean dataset & Visualize frequent words

  3. Tokenization, Lemmatization and Word Document Matrix

  4. Build LDA Model with Scikit Learn

  5. Grid Search for Model Optimization

  6. Visualization of Top N-words of Best Model

Como funcionam os projetos guiados

Sua área de trabalho é um espaço em nuvem, acessado diretamente do navegador, sem necessidade de nenhum download

Em um vídeo de tela dividida, seu instrutor te orientará passo a passo

Perguntas Frequentes – FAQ

Perguntas Frequentes – FAQ

Mais dúvidas? Visite o Central de Ajuda ao Aprendiz.