Text Analytics System

A Text Analytics System is an unstructured data analytics system that can solve a text analytics task. These systems are designed to extract meaningful information from unstructured text data, allowing organizations to make data-driven decisions.

• AKA: text mining system, natural language understanding system
• Context:
  • Text Analytics Systems are widely used in industries such as finance, healthcare, and marketing.
  • They utilize various techniques from text processing and natural language processing to analyze large volumes of text data.
  • These systems can identify trends, sentiments, and key themes within textual content.
  • They are essential for automating the extraction of insights from customer feedback, social media, and other unstructured sources.
• Examples:
  • IBM Watson Natural Language Understanding
  • Google Cloud Natural Language API
  • Microsoft Text Analytics API
• Counter-Examples:
  • audio analytics system
• See: video analytics system, sentiment analysis, named entity recognition

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