Center for Knowledge

Introduction

At Citibeats, we often attempt to build new classifiers to gain insights from social media posts and provide the best context we can to our users around citizens' needs. For instance, we developed some tools to extract information from those posts: a request detector, gratitude detector, concern detector, human/bot or male/female detectors.

Every day, our data science team tackles challenges to improve our product. To give you insight into the process, we will describe the development of our multilingual complaint detector for social media texts and explain how we solved implementation issues.

*DISCLAIMER* We tried to limit technical language to make this article approachable to a wider audience. 

Every day at Citibeats, we strive to gain a deeper understanding of people's opinions with the intention of having their voices be heard — by leaders, decision-makers, or whoever is best positioned to address their needs.