Roadmap for multi-class sentiment analysis with deep learningAman DeepBlockedUnblockFollowFollowingJan 19A practical guide to create incrementally better modelsSentiment analysis quickly gets difficult…
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I flipped through Prosper’s Form S-1 and Annual Report and Wiki, and made a summary:Before 2009, the major credit risk…
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Total score: -404.0 Total score: -404.0 Total score: -404.0 Total score: -404.0 Total score: -404.0 Total score: -404.0 Total score:…
Continue ReadingPredicting Crash Severity for NZ Road Accidents
Scores correspond to each variation’s test set, of course.The Accuracy and averaged F1 score for the RF baselines are as…
Continue ReadingUsing the Needleman-Wunsch algorithm to draw evolutionary trees
A scoring function is denoted byOnce we define the scoring function for pairs of symbols from that alphabet, the score…
Continue ReadingHow fuzzy matching improve your NLP model
Using different algorithms to score strings between 0 and 100.To see whether we can query back expected location name, let…
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Positive users are color coded green, negative users red, and neutral users gray.Putting it all togetherTo put it all together, a…
Continue Reading#WakandaForever = $$$$$
Luckily, Tableau has great data management and on the import of both files, you can join them on movie title.This…
Continue ReadingSentiment Analysis on NBA top players’ Twitter Account — Part4
Sentiment Analysis on NBA top players’ Twitter Account — Part4Correlation Tests Between Performance & Sentiment<Quick links for other parts of this article>Part1…
Continue ReadingUsing 3D visualizations to tune hyperparameters in ML models
To perform it we have to divide the data in 3 subsets: a train set (used to train the model),…
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