Skip to content
#

tf-idf-vectorization

Star

Here are 4 public repositories matching this topic...

NikosMav / FakeNews-Classification

Star 1

In this notebook we analyze and classify news articles using machine learning techniques, including Logistic Regression, Naive Bayes, Support Vector Machines, and Random Forests. Explore text vectorization and NLP for accurate news categorization.

natural-language-processing random-forest svm naive-bayes neural-networks logistic-regression python-notebook text-vectorization model-training fake-news-dataset fake-news-detection tf-idf-vectorization word2vec-vectorization
  • Updated Nov 5, 2023
  • Jupyter Notebook

fardinafdideh / Text-analytics

Star 0

Amazon product review sentiment analysis using Logistic Regression (LR), Support Vector Machine (SVM), and Naive Bayes (NB) multiclass as classifier models, Synthetic Minority Oversampling Technique (SMOTE) as feature oversampler, and TF-IDF vectorization as feature, Synthetic Minority Oversampling Technique (SMOTE) as oversampler, and k-fold CV.

svm naive-bayes nltk logistic-regression support-vector-machine smote lr linear-svm nb k-fold-cross-validation tf-idf-vectorization synthetic-minority-oversampling-technique
  • Updated Feb 28, 2023
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the tf-idf-vectorization topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the tf-idf-vectorization topic, visit your repo's landing page and select "manage topics."

Learn more