wyszukanych pozycji: 6
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Sentimentanalyse van Covid-19 Tweets met behulp van Machine Learning-algoritme
ISBN: 9786208580131 / Holenderski / Miękka / 52 str. Termin realizacji zamówienia: ok. 10-14 dni roboczych. |
cena:
197,28 |
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Analisi del sentiment dei tweet di Covid-19 con un algoritmo di apprendimento automatico
ISBN: 9786208580124 / Włoski Termin realizacji zamówienia: ok. 16-18 dni roboczych. |
cena:
196,91 |
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Analyse des sentiments des tweets de Covid-19 ? l'aide d'un algorithme d'apprentissage automatique
ISBN: 9786208580094 / Francuski Termin realizacji zamówienia: ok. 16-18 dni roboczych. |
cena:
196,91 |
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Stimmungsanalyse von Covid-19-Tweets mithilfe eines Algorithmus f?r maschinelles Lernen
ISBN: 9786208580032 / Niemiecki Termin realizacji zamówienia: ok. 16-18 dni roboczych. |
cena:
196,91 |
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An?lise do sentimento dos tweets sobre a Covid-19 utilizando um algoritmo de aprendizagem autom?tica
ISBN: 9786208580148 / Portugalski Termin realizacji zamówienia: ok. 16-18 dni roboczych. |
cena:
196,91 |
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Sentiment Analysis of Covid-19 Tweets Using Machine Learning Algorithm
ISBN: 9786208118105 / Angielski / Miękka / 2024 / 52 str. Termin realizacji zamówienia: ok. 16-18 dni roboczych. Main theme: This article demonstrates that, among a large number of prediction models, the Facebook Prophet Model had the highest accuracy when it came to anticipating pandemic circumstances.Result Analysis: They presented how the models performed on the test sets using the regression and time series models, as well as the analysis using Facebook Prophet. They can calculate the Root Mean Square Error (RMSE) for each model using these results. The comparison of the models based on their RMSE scores is shown in Table I. Table I indicates that when forecasting confirmed instances, the FPM has...
Main theme: This article demonstrates that, among a large number of prediction models, the Facebook Prophet Model had the highest accuracy when it cam...
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cena:
192,63 |