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Classifying Emotions in Sentence Text Using Neural Networks

Analytics Vidhya

Introduction Classifying emotions in sentence text using neural networks involves attributing feelings to a piece of text. It can be achieved through techniques like neural networks or lexicon-based methods. Neural networks involve training a model on tagged text data to predict emotions in new text.

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Visualizing the statistical connections behind ChatGPT

FlowingData

Then he visualized the statistical paths to get to a response using a 3-D network. If you squint, the network kind of looks like a computer’s brain. Tags: AI , ChatGPT , Santiago Ortiz

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Understanding neural networks: A beginner’s guide

Data Science Dojo

Neural networks, a cornerstone of modern artificial intelligence, mimic the human brain’s ability to learn from and interpret data. What is a neural network? Imagine a neural network as a mini-brain in your computer. The structure of neural networks Think of a neural network as a layered cake.

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Digital face aging with neural network

FlowingData

Disney Research demonstrates their use of neural networks to seamlessly age and de-age someone’s face across a continuous range. Tags: age , Disney , face , neural network. Sure what is real anymore anyway.

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0-days exploited by commercial surveillance vendor in Egypt

Hacker News

Last week Google’s Threat Analysis Group (TAG), in partnership with The Citizen Lab, discovered an in-the-wild 0-day exploit chain for iPhones. However, TAG was unable to capture the full Predator implant.We response, yesterday, Apple patched the bugs in iOS 16.7 and iOS 17.0.1 as CVE-2023-41991, CVE-2023-41992, CVE-2023-41993.

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Guide to sequence tagging with neural networks

Depends on the Definition

This is the third post in my series about named entity recognition. If you haven’t seen the last two, have a look now. The last time we used a conditional random field to model the sequence structure of our sentences.

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Network for Marvel Cinematic Universe

FlowingData

With a fun view of the Marvel Cinematic Universe , Tristan Guillevin walks through a network of characters and movies from 2008 through 2012. See also the 3-D network by The Straits Times from a few years back that goes into more depth with interactions between characters. Tags: Marvel , Tristan Guillevin.

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