How to infer location from social media content?

Inferring location from social media content is oftentimes challenging because posts lack explicit geotags, place names can be ambiguous, and users frequently utilize slang, informal language, or leave location fields empty.

To address the challenges of detecting location on social media content, our data scientists have developed a unique Location Inference Classifier. This tool analyzes the text content of a post using a machine learning algorithm, trained on millions of posts, which predicts an original location along with a corresponding probability of accuracy.

Datastreamer’s location classification models are offered as easy-to-use components that can be integrated directly into your data pipeline to help analyze and classify social media content.

Let us know if you're an existing customer or a new user, so we can help you get started!