Deep Learning, NLP, NMT, AI, ML
The aim of this article is to explain step by step how to analyze the quantity as well as the quality of tweets related to a keyword on a given sample. Below is an example of what kind of analyses you could do with the code.
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Um dos prospects mais interessantes dos modelos de linguagem atuais é a capacidade de gerar insights sobre grandes volumes de textos. Afinal, para um ser humano ler, entender e compilar conhecimento contido em, digamos, 15.000 páginas não é um tarefa trivial. Neste artigo vou apresentar uma técnica que eu desenvolvi no meu mestrado chamada de Targeted Sampling, ou Amostragem Direcionada. Em minha pesquisa, analisei representações de equidade nos novos
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NLP is used today widely and vastly, ranging from chatbots to customer review analysis. With GPT-3 and BERT coming into the picture its application is growing day by day.
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A short beginner friendly explanation
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On the popularity of unpopular opinions in data science
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Exploring Coursera Course Dataset by performing EDA. The hype surrounding “DATA” Companies worldwide have been spending big bucks on Data, in the United States alone, BDA (Big Data Analytics) spending touched
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Here are some of the ways you can discover your data processing jobs are too slow: Jobs start getting killed when they hit timeouts. Customers start complaining about slow or failed jobs. Your cloud computing bill is twice what it was last month. While these notification mechanisms do work, it’s probably best not to rely on them. Life is easier when jobs finish successfully, customers are happy, and you have plenty of money left over in your budget. That means […]
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The Art of Human-Machine Language
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