A multi-model machine learning app that classifies short text messages into six emotion categories (joy, sadness, love, anger, fear, surprise) using TF-IDF and models like SVM, Logistic Regression, ...

In the meanwhile, a time-tested machine learning method known as support vector machine (SVM) has a stellar reputation for reliability and accuracy. By merging an improved CNN with SVM, this research ...

Text classification based on machine learning ... The result shows that, the best model we made is Naïve Bayes which can hold for the 55% accuracy in predicting the application number by genre.

Describe text classification and related terminology (e.g., supervised machine learning). Apply text classification to marketing data through a peer-graded project. Apply text classification to a ...

2 Machine learning in cancer of unknown primary classification based on RNA sequencing. We have conducted a literature search to identify studies that used RNA-Seq data to train machine learning ...

The rediscovery of known drug classes represents a major challenge in natural products drug discovery. Compound rediscovery inhibits the ability of researchers to explore novel natural products and ...