Currently, more than half of the world’s population uses a social network. Thus, social networks are the ideal tool to discover what today’s society is like, what their habits are, what behaviors they have in different situations or places, etc. More specifically, the social network Twitter is used daily by hundreds of millions of users, who interact with each other by publishing all kinds of information that can be collected and processed in order to obtain a large amount of useful information. Thanks to Machine Learning, classifiers can be used to show that information and to determine how different factors in the world around us influence people. The objective will be to study tweets published in parks, both urban and natural, for their subsequent analysis and classification with Machine Learning and to determine the influence on a person of tweeting in some places or others.The locations to be studied will be parks in different Spanish cities, natural parks in our country, as well as an urban population to compare results. The analysis of the tweets will be to know how people’s feelings and their emotions are reflected in their tweets. All this thanks to Natural Language Processing (NLP). The hashtags that accompany these tweets, as well as the topics they deal with, will also be analyzed.