This is the 18th article in my series of articles on Python for NLP. In my previous article, I explained how to create a deep learning-based movie sentiment analysis model using Python's Keras library. In that article, we saw how we can perform sentiment analysis of user reviews regarding different
This is the 17th article in my series of articles on Python for NLP. In the last article, we started our discussion about deep learning for natural language processing.
The previous article was focused primarily towards word embeddings, where we saw how the word embeddings can be used to convert
This is the 16th article in my series of articles on Python for NLP. In my previous article I explained how N-Grams technique can be used to develop a simple automatic text filler in Python. N-Gram model is basically a way to convert text data into numeric form so that
One of the most common utilizations of TensorFlow and Keras is the recognition/classification of images. If you want to learn how to use Keras to classify or recognize images, this article will teach you how.
If you aren't clear on the basic concepts behind image recognition, it