Text Mining

Uncover actionable insights from unstructured data to improve marketing, product development, risk management, fraud detection, and more. Use our software to find out not only what your customers are saying, but also why they’re saying it. Read more about text mining here.

Leading organizations like these trust our platform to dig deeper.

Extract Insights from Unstructured Content

Today, data means far more than just numbers and figures—it includes images, audio, and text as well. Text mining allows organizations to extract information from qualitative, textual context and glean insights from it.

Online reviews, social media chatter, call center transcriptions, claims forms, research journals, and patent filings are just a few examples of resources your business can analyze with data science. These invaluable insights will help you hyper-target your marketing, improve product development, and better manage risks.

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Sentiment Analysis–Measure Feeling, Not Just Meaning

Don’t take things at face value—use text mining to understand the deeper context of what’s being said. Text analysis software lets you gain insights from both structured and unstructured text data using natural language processing (NLP). 

As well as specific language use, themes, or patterns, sentiment analysis seeks to understand the intention behind the words. This makes it easier to understand customer motivation so you can approach them the right way with a relevant message.

Four Ways to Dig Deeper

Conduct sentiment analysis

Assess attitudes toward your brands, products, and services to hyper-target communications.

  • Hear your customers: Inject the voice of the customer into product and service design. Analyze direct feedback from users to add features, fix defects, or create new offerings.
  • Improve marketing results: Understand what people want by what they say, not just who they are, and measure the effect on your bottom line.
  • Improve fraud detection: Identify patterns in spoken and written text that indicate fraud may be at play. Dig beneath the surface of transactional data for tell-tale signs that might otherwise be missed.
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We wanted an easy way to load the data from the Server and write calculated identifiers back. The analysis of the data was easy and fast thanks to the very successfully created interface in RapidMiner. AutoModel made it quick and easy to extend analysis to other areas of applications.

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Text Mining in Action

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