Athens Technology Center (ATC) supports Zoetis, the world’s leading animal healthcare company, in its quest to explore The perceptions of pet owners in the fields of health and veterinary care.
Specifically, in collaboration with Veterinary Health Innovation Engine (vHive), a unique collaboration between the University of Surrey and Zoetis, ATC provided a specialized Social Intelligence solution with the aim of analyzing the public dialogue on the Allergic skin disease in cats.
The main objective of the project was to apply thematic analysis to social media content and to create a unique set of data that understands the posts about the symptoms, possible causes and treatments of cat itching, including behaviors search for information by a pet owner.
For this purpose, ATC provided the Social Asset platform, a complete solution that offers artificial intelligence-based mapping of online speech. As part of the study, the researchers used Social Asset to automate tasks such as collecting content and extracting metadata.
Subsequently, semi-automatic machine learning models were used to classify the relevant posts. In this way, experts on the subject were able to easily begin to identify and describe the veterinary course of a companion animal (and in particular, a cat) in the midst of a disease.
This text has been translated automatically from the original Greek. In case of any discrepancy or inaccuracy, the original Greek text prevails. The translation is provided for information purposes only.