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Leveraging user-generated social media content with text-mining examples

IBM Big Data Hub

Data extraction Once you’ve assigned numerical values, you will apply one or more text-mining techniques to the structured data to extract insights from social media data. Data analysis and interpretation The next step is to examine the extracted patterns, trends and insights to develop meaningful conclusions.

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The Superpowers of Ontotext’s Relation and Event Detector

Ontotext

Further, RED’s underlying model can be visually extended and customized to complex extraction and classification tasks. RED’s focus on news content serves a pivotal function: identifying, extracting, and structuring data on events, parties involved, and subsequent impacts. Here’s how our tool makes it work.