Skip to content
#

multinomial-naive-bayes

Here are 67 public repositories matching this topic...

Twitter-Sentimental-Analysis

I have used Multinomial Naive Bayes, Random Trees Embedding, Random Forest Regressor, Random Forest Classifier, Multinomial Logistic Regression, Linear Support Vector Classifier, Linear Regression, Extra Tree Regressor, Extra Tree Classifier, Decision Tree Classifier, Binary Logistic Regression and calculated accuracy score, confusion matrix and…

  • Updated Feb 12, 2023
  • Python

Webapp para classificar comentários (positivos, negativos e neutros) advindos do Facebook usando Natural Language Toolkit (NLTK) + Django e Bootstrap na interface Web.

  • Updated Apr 23, 2021
  • Python
NLP-Email-Categorizer

An efficient text classification pipeline for email subjects, leveraging NLP techniques and Multinomial Naive Bayes. Easily preprocess data, train the model, and categorize new email subjects. Ideal for NLP enthusiasts and those building practical email categorization systems using Python.

  • Updated May 1, 2025
  • Python

This project trains a model using Multinomial Naive Bayes algorithm to predict gender of a person from his/her first name. For this project, we used a dataset downloaded from data.gov which contains a zip file containing 142 txt files. There are files for every year from 1800 to 2021.

  • Updated Nov 21, 2022
  • Python

Improve this page

Add a description, image, and links to the multinomial-naive-bayes 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 multinomial-naive-bayes topic, visit your repo's landing page and select "manage topics."

Learn more