Scale your text and audio annotation with a team skilled in understanding and interpreting complex, nuanced language. Our data analysts combine your business context with their understanding of language, syntax, and sentence structure to accurately parse and tag text according to your specifications. We can extract meaning from raw audio and text data to advance your NLP project. From information extraction to sentiment analysis, we can help you unlock the hidden insights contained within written text and verbal language, powering your NLP algorithms and machine learning models.
Samples/Tables Included:
- This service is available for text, documents, and audio data.
Fields Included:
- Labels can include transcription, classification, tokens, tags, sentiment, entities, relationships, document categorization
Sources:
- Raw data files (documents, text, images, audio) are provided by the consumer/client
- Structured labeling output files are provided by CloudFactory
Expected Workflow:
- Raw data (documents, text, images, audio) is shared with CloudFactory through the consumer/client’s Snowflake account
- Labeling guidelines are shared with CloudFactory
- Access to any necessary tools is provided to CloudFactory
- CloudFactory provides seed service to kick off project with a cross-functional team of highly-skilled data analysts
- CloudFactory annotates and labels the raw data based on the guidelines and feedback
- CloudFactory shares the structured annotation output files through CloudFactory’s Snowflake account