Case Study: Brandwatch achieves faster, more agile digital intelligence insights with Appen

The Appen Data Annotation Platform and global crowd helps Brandwatch iterate quickly in data analytics

Brandwatch, a digital consumer intelligence platform founded in 2006, needed a more reliable way to annotate massive volumes of public text data and support its machine learning workflows. Its internally managed freelance network created high turnaround times and too much overhead, making it difficult for the company to scale and iterate quickly on data science projects. Brandwatch turned to Appen and its Data Annotation Platform to improve the process.

With Appen’s Data Annotation Platform and global crowd, Brandwatch gained access to a consistent stream of annotators, built-in dashboards and QA tools, and automatic quality checks. This helped the team perform sentiment analysis, named entity recognition, and other NLP tasks across multiple languages, while iterating faster with real-time metrics and annotator feedback. As a result, Brandwatch now ingests and analyzes over 500 million documents every day and has integrated human annotation into its model release pipeline to deliver more accurate, agile digital intelligence insights.

Brandwatch

Colin Sullivan

Data Science Manager