AUC-ROC Curve – The Star Performer! You’ve built your machine learning model – so what’s next? You need to evaluate…
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Determining the Happiest Cities using Twitter Sentiment Analysis with BERT
In this article, we examine the state-of-the-art technology in Deep Learning today to determine the positivity of users tweets in…
Continue ReadingNeural network can explain the physics of an earthquake rupture
Neural network can explain the physics of an earthquake ruptureMachine Learning Approach to Earthquake Rupture DynamicsSabber AhamedBlockedUnblockFollowFollowingJun 19Damage due to earthquakes…
Continue ReadingA new Tool to your Toolkit, KL Divergence at Work
A new Tool to your Toolkit, KL Divergence at WorkThe finale, applying KL Divergence to real DatasetAbhishek MungoliBlockedUnblockFollowFollowingJun 15In my previous post,…
Continue ReadingUsing Natural Language Processing To Rate The Sentiment of the Game of Thrones Finale
Using Natural Language Processing To Rate The Sentiment of the Game of Thrones FinaleUsing Vader and TextBlob to analyze the sentiment…
Continue ReadingNoise Contrastive Estimation
Noise Contrastive EstimationA Gentle IntroductionZak JostBlockedUnblockFollowFollowingMay 21This article originally appeared on blog. zakjost. comIntroductionI have recently worked to understand Noise…
Continue ReadingText Classification Every Engineer should be able to Build from Scratch — Naive Bayes
Or what is the relationship between each word and the review sentimental?NB is simply a systematic way of making predictions…
Continue ReadingSentiment Analysis: Beyond Words
First, I split each review into sentences, and used spaCy and gensim to get distinct topics that reviewers mentioned in…
Continue ReadingChinese smartphone brands suffer negative sentiment on Twitter amid India’s “boycott China” outrage
Chinese smartphone brands suffer negative sentiment on Twitter amid India’s “boycott China” outrageRuby YeBlockedUnblockFollowFollowingMar 14The Chinese smartphone brand Oppo suffered the…
Continue ReadingDemystifying Support Vector Machines
+ is 1. 5 and that is exactly the value of ζ in this case. Understanding CAs I mentioned above…
Continue ReadingMachine Learning with Python: NLP and text recognition
Machine Learning with Python: NLP and text recognitionRoberto SannazzaroBlockedUnblockFollowFollowingFeb 3In this article i would like to apply a series of…
Continue ReadingVarious ways to evaluate a machine learning model’s performance
Or a patient is having cancer (positive) or is found healthy (negative)..Some common terms to be clear with are:True positives…
Continue ReadingI Always Get Sentimental (Analysis) This Time of Year
Here’s one way:compound = []positive = []neutral = []negative = []for x in comments: x_comp = analyzer.polarity_scores(x)["compound"] x_pos = analyzer.polarity_scores(x)["pos"]…
Continue ReadingDealing With Class Imbalanced Datasets For Classification.
Undersampling.Say, you have 40,000 positive sample and 2,000 negative samples in your dataset..We will use this as our running example…
Continue ReadingUsing mlr for Machine Learning in R: A Step By Step Approach for Decision Trees
Using mlr for Machine Learning in R: A Step By Step Approach for Decision TreesHyperparameter Tuning for optimizing performance.Asel MendisBlockedUnblockFollowFollowingNov 9I…
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