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).
In this article we will see how we will be able to recover information (photo, and other information) from a scanned identity card. In this article we will use the OpenCV and tesseract libraries with Python.