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

IBM Big Data Hub

Named entity recognition (NER): NER extracts relevant information from unstructured data by identifying and classifying named entities (like person names, organizations, locations and dates) within the text. And with advanced software like IBM Watson Assistant , social media data is more powerful than ever.

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Modeling 101: How It Works and Why It’s Important

Domino Data Lab

PyTorch: used for deep learning models, like natural language processing and computer vision. It’s used for developing deep learning models. Horovod: is a distributed deep learning training framework that can be used with PyTorch, TensorFlow, Keras, and other tools. This comes down to model risk management.

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The Superpowers of Ontotext’s Relation and Event Detector

Ontotext

Risk management : Understanding the correlation between events and stock price fluctuations helps manage risk. This semantic model serves as a blueprint or framework against which raw data is analyzed and organized. Then it presents customizable insights through an interactive dashboard for thorough analysis.