NLPCloud.io is an API for easily using NLP in production. The API is based on the pre-trained models of spaCy and Hugging Face (based on transformers). In and article we will see how to use this API in a few lines …
I propose in this article to create a convolutional neural network to do NLP, and for the data I will use a dataset that you can simply find in the Kaggle datasets: FrenchFakeNewsDetector. You have understood the objective is twofold: on the one hand to see how we can use the convolution technique with vectors (1 dimension instead of images with 2+ dimensions) and on the other hand to do NLP with data in French.
For an analysis I wanted to do and after several searches, I realized that it was not that easy to get historical weather data. Of course, as i’m french I went to Meteo France Open Data and tried other open data site. But nothing really usable or it seems without a paid subscription. So I decided to retrieve them through a Python program and the scraping technique.
Discover in a short demo how Blur Prism Decipher IDP allows you to easily automate the classification and then the extraction of data from unstructured documents (scanned for example).