Customized data extraction and processing for the prediction of Baby Blues from social media

With the explosion of web 2.0, we are witnessing a sharp increase in Internet users such as a vertiginous evolution of social media. These Media constitute a source of rich and varied information for researchers in sentiment analysis. In this paper, we introduce a method to build a Dataset by extracting and processing Data from Twitter. In fact, we present in this paper, a novel approach to represent our Dataset the way to improve the prediction of profiles with depression by considering social media factors as analysis parameters.