Use Appen’s services to build robust social media analytics systems more quickly
How we help
From semantic annotation to linguistic rule development, our comprehensive suite of services allows you to enhance the data used in your social media analytics system to gain important insights for your organization and your customers. Appen provides the right resources to improve the quality of your social media analytics solutions.
From semantic annotation to quality assurance, our highly experienced linguistic teams work with your team to understand your objectives and timeline, and will customize a program to meet your needs. We can collect and annotate large quantities of data in a short timeframe, allowing you to quickly train your system and improve its output. Our expert linguists help structure your data to get more meaning from it, allowing your social media analytics system to detect sentiment more accurately.
With over 20 years in the industry, Appen has worked with technology leaders to provide the high-quality data needed to improve their solutions. With access to an experienced crowd of over 1 million people worldwide, and a team of experienced project managers, we can quickly scale to meet your needs.
Our data services
- Consultative Services
We work closely with your team to develop a customized program that addresses your unique business challenges.
- Linguistic Annotation
Help train your machine learning model to better understand text so it can respond more accurately to human interaction.
- Semantic Annotation
Improve product listings and on site search with semantic annotation.
- Speech Data Collection
Use our curated global crowd to collect high quality speech data in over 180 languages and dialects.
- Text Data Collection
Collect millions of high quality data samples to ensure your solution meets the needs of your customers worldwide.
Improving Local Search Results for Enhanced User Experience [Case Study]
When a search engine provider needed to keep up with business listing demand, it turned to Appen to ensure accuracy.
Improving Natural Language Recognition for Leading Social Media Firm [Case Study]
A leading social media company needed large amounts of data to improve machine learning. Appen helped them secure the data needed to enhance the model. Read more.