• Keyword and keyphrase detection
• Sentiment analysis
• Company name detection
• Brand and product name detection
• Custom machine learning classifiers
• Discovery
• Information extraction/parsing

Big data is not just about algorithms and processing. It is critical to have a good UI to understand how results are derived from text content, to edit data, and to provide feedback to improve performance.

Create and edit dictionaries, select processing modules, and tune performance. Custom algorithms can be developed and deployed within the Atomic service infrastructure.

Our system works with multiple types of unstructured content including web-based content, specialized document collections, regulatory filings, and third-party content subscription services such as financial news.

Rich API for upload of content, access to analytics data, and processing configuration to support integration with clients' systems.

Re-run analytics on batched content. For financial applications, analytics can be used to backtest trading strategies with linked financial market data.