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What is Emotion Analysis?

mention

Emotion analysis is a blend of psychology and technology in which human feelings are translated into data. That’s what emotion analysis works towards. The magic lies in the NLP algorithms that sift through text—be it tweets, reviews, or conversations—and identify the emotional content.

Analysis 157
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DirectX Visualization Optimizes Analytics Algorithmic Traders

Smart Data Collective

Analytics technology has become an invaluable aspect of modern financial trading. If your trade analysis and trials are a pain in the neck or you barely register any results, you’ll undoubtedly be looking for ways to change things up. For example, when your trading algorithm makes losses or a particular threshold or condition is met.

Algorithm 333
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What is NLP? Natural language processing explained

CIO

Search engines, machine translation services, and voice assistants are all powered by the technology. How natural language processing works NLP leverages machine learning (ML) algorithms trained on unstructured data, typically text, to analyze how elements of human language are structured together to impart meaning.

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Ford’s high-tech business transformation, fueled by cloud

CIO

s wholesale pivot to technology has transformed not only the automaker’s business operations but its corporate identity. “We Mike Amend, Ford’s chief enterprise technology officer, was once CTO for Dell’s global online business. Ford Motor Co.’s People don’t think of a large, 100-year-old manufacturing company as high tech.”

Business 716
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11 most in-demand gen AI jobs companies are hiring for

CIO

Businesses are turning to gen AI to streamline business processes, develop proprietary AI technology, and reduce manual efforts in order to free up employees to take on more intensive tasks. The role of algorithm engineer requires knowledge of programming languages, testing and debugging, documentation, and of course algorithm design.

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Innovative data integration in 2024: Pioneering the future of data integration

CIO

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. This article focuses on how these advancements are paving the way for data integration for the years to come in this ever-so-dynamic technological era.

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How Italian CIOs produce value with gen AI

CIO

Others have seen gen AI as an opportunity to advance their AI projects with uniquely constructed technology. I tried to use it for text generation and information retrieval, but it seemed more suitable for a consumer environment than corporate reality. At first, I was wary of generative AI,” he says.

Travel 640