Remove topic subject algorithms
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Topic Identification with Gensim library using Python

Analytics Vidhya

Source: Image Topic Identification is a method for identifying hidden subjects in enormous amounts of text. The Latent Dirichlet Allocation (LDA) technique is a common topic modeling algorithm that has great implementations in Python’s Gensim package. The problem is determining how to extract high-quality […].

Python 260
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AutoTRIZ: An Artificial Ideation Tool that Leverages Large Language Models (LLMs) to Automate and Enhance the TRIZ (Theory of Inventive Problem Solving) Methodology

Marktechpost

Some other methods employ text-mining techniques for inventive problem formulation or map TRIZ principles to patents using topic modeling. However, most of these works utilize algorithms to improve specific steps of the TRIZ process. While human expert analysis carries subjectivity and bias, it serves as a benchmark for comparison.

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Spatial Intelligence: Why GIS Practitioners Should Embrace Machine Learning- How to Get Started.

Towards AI

Created by the author with DALL E-3 Statistics, regression model, algorithm validation, Random Forest, K Nearest Neighbors and Naïve Bayes— what in God’s name do all these complicated concepts have to do with you as a simple GIS analyst? For example, it takes millions of images and runs them through a training algorithm.

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Algorithmic Bias in Facial Recognition Technologies

Towards AI

Algorithmic Bias in Facial Recognition Technologies Exploring how facial recognition systems can perpetuate biases. While FR was limited by a lack of computational power and algorithmic accuracy back then, we have since seen huge innovative improvements in the field.

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Could We Achieve AGI Within 5 Years? NVIDIA’s CEO Jensen Huang Believes It’s Possible

Unite.AI

Jensen Huang, CEO of NVIDIA, a trailblazer in AI technology, recently brought this topic to the forefront of technological discourse. These fields require not only a deep understanding of intricate subject matter but also the ability to navigate nuances and subtleties that are often second nature to human experts.

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Lucjan Suski, Co-Founder & CEO of Surfer – Interview Series

Unite.AI

How does Surfer help with keyword research and becoming a topical leader in a niche? Well, the way Google works now is that you could write the best piece of content on the planet on a topic, say “how to lose weight”, but your chances of ranking well would still be slim to none. Think of your website as a book on a subject.

AI Tools 162
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Unlocking the Hidden Themes of Text with Topic Modeling

Mlearning.ai

NLP: Topic Modeling Discovering the Key Topics in Text Data with Latent Dirichlet Allocation (LDA) and Latent Semantic Analysis (LSA) With the daily explosion of text data, it can be difficult to process and make sense of all the information.