Clarabridge leverages the following core features of its sentiment and text analytics platform to process your unstructured data.
Process, Categorize and Score Every Aspect of Each Verbatim
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High Fidelity NLP: The Natural Language Processing (NLP) engine extracts truly exhaustive, high-fidelity linguistic information. For more information >
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Sentiment Analysis: The Sentiment Analysis engine provides an accurate context by accounting for negation, conditional sentiment, and other linguistic nuances. For more information >
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Classification: This process includes auto-classification to create an initial model based on the data; pre-built classification templates; rules-based classification; and machine learning, where the software learns and refines the model over time. For more information >
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Automatic Structured Data Integration: Structured data seamlessly integrates with unstructured data through the workflow. Lookup and cross-reference tables are automatically built and maintained. For more information >
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Analysis Preparation: An optimized database stores all data to create reports, dashboard and visualizations and to export to BI tools. The analysis database incorporates structured data. For more information >