The people, processes, and tools used by outsourced data labeling partners make a big difference in final data quality. Here's how to ensure quality work from your data partners.
Sentiment analysis has a broad range of applications, from brand monitoring to market research to analysis of political or legal content. By interpreting text data at scale, organizations can get actionable insights from the diverse and disparate sources of information online. However, in order to train models that can scale these efforts, these companies need people who can pick up on the subtleties of language and accurately tag text for algorithm training. That’s where CloudFactory comes in.
Business intelligence companies that apply machine learning algorithms to publicly available information on social media networks and want to conduct analyses of content trends. Many have partnered with CloudFactory to train sentiment analysis models and manage exceptions that machine learning algorithms are not able to handle.
We have been through a full production cycle of data sent through CloudFactory. We’ve fed that back into our model, trained it, deployed it and seen much, much better results and model accuracy.
Our managed teams have served hundreds of clients across use cases that range from simple to complex.
Our proven processes deliver quality data quickly and are designed to scale and change along with your needs.
For nearly a decade, clients have trusted our secure IT-Infrastructure and workforce vetting processes to deliver quality work remotely.