AI

AI, artificial intelligence

sentiment analysis leaves

How to do Sentiment Analysis with Deep Learning (LSTM Keras)
 Automatically Classify Reviews as Positive or Negative in Python

In this tutorial, we build a deep learning neural network model to classify the sentiment of Yelp reviews.

Following the step-by-step procedures in Python, you’ll see a real life example and learn:

– How to prepare review text data for sentiment analysis, including NLP techniques.
– How to tune the hyperparameters for the machine learning models.
– How to predict sentiment by building an LSTM model in Tensorflow Keras.
– How to evaluate model performance.
– How sample sizes impact the results compared to a pre-trained tool.
And more.

covid-19 death rate breaking life

What is the Coronavirus Death Rate with Hyperparameter Tuning
 Examine the death rate and time to death/recovery distribution with Python

We examine the death rate and time to death/recovery distribution of coronavirus with Python.
You’ll see the step-by-step procedures of how to find the parameters of a model that is best fitting the COVID-19 data.
If you want:
– more insights about coronavirus
– or to see an example of hyperparameter tuning/optimization in Python
take a look!

Scroll to Top

Learn Python for Data Analysis

with a practical online course

lectures + projects

based on real-world datasets

We use cookies to ensure you get the best experience on our website.  Learn more.