Integração e Rotulação Automatizada de Dados sobre o Cnidário Physalia physalis, usando a Geolocalização como Referência

Classification techniques in machine learning models have been effectively applied to text and image recognition. But for any and every application, data need to be trained and tested. In order to achieve good performance in the classification process, these data need to be reliably labeled, which makes the process expensive and time-consuming. In this paper, we propose an approach to reduce the cost of manual labeling a database composed of Portuguese man of war (Physalia physalis) sightings on Brazilian beaches. The technique is based on integrating Instagram posts with newspaper articles based on their temporal and spatial proximity. The ultimate goal is to use these labeled data for training a classification technique in the machine learning process.