Text mining automatically extracts valuable information from raw text sources. Patterns and trends in text can be automatically extracted through statistical pattern learning and natural language processing techniques.

With this extracted information, documents can be categorized, clustered, assigned a sentiment, or tagged and annotated automatically at a speed and scale that far surpasses human analysis.

Topic and Trend Analysis
Leverage text mining techniques for realtime data retrieval, processing, and visualization of trends and topics in your company's text data.
PDF Text Extraction
Deploy a natural language processing model to automate identification and extraction of valuable information at scale.
Sentiment Analysis
Automatically capture and track sentiment about entities in online or offline sources through natural language models.

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