8000 multinomialnb · GitHub Topics · GitHub
[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to content
#

multinomialnb

Star

Here are 17 public repositories matching this topic...

Language: All
Filter by language
All 17 Jupyter Notebook 14 Python 2 JavaScript 1
Sort: Most stars
Sort options
Most stars Fewest stars Most forks Fewest forks Recently updated Least recently updated

SannketNikam / Emotion-Detection-in-Text

Star 48

This project employs emotion detection in textual data, specifically trained on Twitter data comprising tweets labeled with corresponding emotions. It seamlessly takes text inputs and provides the most fitting emotion assigned to it.

nlp data-science machine-learning sentiment-analysis word2vec wordcloud nltk logistic-regression tf-idf stopwords stemming lemmatization emotion-detection count-vectorizer model-deployment multinomialnb streamlit streamlit-webapp streamlit-cloud
  • Updated Oct 29, 2024
  • Jupyter Notebook

dayfundora / Personality-Type

Star 18

Recognition of Persomnality Types from Facebook status using Machine Learning

python machine-learning facebook machine-learning-algorithms gradient-boosting-classifier svc personality-traits big5 liwc random-forest-classifier liwc-dictionaries linear-regression-classification sgd-classifier personality-predicting multinomialnb facebook-status-scraper big5-ocean-traits logistic-regression-classifier ridge-classifier
  • Updated Jul 16, 2021
  • JavaScript

elmezianech / ClassifyReviews_NLP

Star 0

Revolutionize customer feedback analysis with our NLP Insights Analyzer. Utilize cutting-edge text preprocessing to transform raw reviews into a machine-friendly format. Explore sentiment models, such as Logistic Regression and Naive Bayes, employing cross-validation for model robustness.

machine-learning ai numpy cross-validation ml pandas naive-bayes-classifier logistic-regression svc nltk-library countvectorizer accuracy-score joblib multinomialnb randomforestclassifier
  • Updated Nov 14, 2023
  • Jupyter Notebook

ShaikhBorhanUddin / Spam-Detection-With-Machine-Learning

Star 0

This project focuses on building a robust spam detection system using both machine learning and deep learning techniques, targeting two distinct types of data: SMS messages and emails. The goal is to classify incoming messages as either "spam" or "ham" (not spam) with high accuracy, precision, and efficiency.

random-forest cnn xgboost logistic-regression adaboost spam-detection svc mlp-classifier multinomialnb bernoulli-naive-bayes
  • Updated May 14, 2025
  • Jupyter Notebook

Improve this page

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

Learn more

0