Text Mining
Use insights from unstructured data to improve marketing, product development, risk management and more.
Extract insights from unstructured content
For many years, “data” effectively meant numbers and figures. Today, many organizations have discovered great insights through text mining, extracting information from qualitative and textual content.
Online reviews, social media chatter, call center transcriptions, claims forms, research journals, patent filings, and many other sources, all become rich resources that can be tapped through data science to advance your business and organizational mission. Use these insights to improve marketing, product development, risk management and more.
Conduct sentiment analysis
Glean attitudes towards your brands, products and services from what people are saying about it, in social media and elsewhere. Target communications to adjust perceptions.
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 that meet articulated needs.
Improve marketing results
Use more than just profile data for targeted marketing and advertising. Understand what customers and prospect want by what they say, not just who they are.
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.
Find out how ML can transform your business
We apply our expertise to help you identify the use cases you should tackle in your organization. The outcome is an impact-feasibility map that you can use with or without us.
Related Resources. Take a Look!
Using Text Mining to Improve Customer Service
This session will walk you through how to use RapidMiner and Text Mining on customer service call transcripts.
Using REST APIs and Text Mining Tools with Online Chat
Working with REST APIs can be cumbersome and challenging, in this webinar we demonstrate how to enrich and analyze chat conversations in RapidMiner Studio.
Text Mining – Entity extraction
In order to extract the desired information from unstructured text, data scientists rely on a technique called entity extraction. This session will focus on ways to perform entity extraction in RapidMiner Studio.
Text Mining – Document classification
Unstructured data presents many challenges in the business world. In this session we will cover how to solve these use cases with document classification techniques in RapidMiner.
Improving Customer Service with Text Mining and Auto-classification
Learn how LIAT uses RapidMiner to improve the time it takes to respond to customer issues and improve customer sentiment.
Digital Engagement and Sentiment Analysis with Lufthansa Industry Solutions
Learn how the usage of sentiment analysis methods and RapidMiner software can help you identifying unfavorable tweets and send a call to action to the affected departments.