Popular GitHub Repositories for Multinomial

Python package of Tomoto, the Topic Modeling Tool

Basic Machine Learning implementation with python

Machine learning Options Trading Algorithm. API calls to collect the data from Yahoo Finance, Sentiment Investor, Finta. Encoding financial indicators. Building Logistic regression and Multinomial Machine Lerning models for evaluation. P2.

Multinomial Adversarial Networks for Multi-Domain Text Classification (NAACL 2018)

Transcribing Speech with Multinomial Diffusion, training code and models.

Forecasting weather Using Multinomial Logistic Regression, Decision Tree, Naïve Bayes Multinomial, and Support Vector Machine

Distributed MCMC Inference in Dirichlet Process Mixture Models (High Performance Machine Learning Workshop 2019)

A web app that classifies text as a spam or ham. I am using my own ML algorithm in the backend, Code to that can be found under machine_learning_section. For Live Demo: Checkout this link

Sentiment Analysis & Topic Modeling with Amazon Reviews

A Natural Language Processing with SMS Data to predict whether the SMS is Spam/Ham with various ML Algorithms like multinomial-naive-bayes,logistic regression,svm,decision trees to compare accuracy and using various data cleaning and processing techniques like PorterStemmer,CountVectorizer,TFIDF Vetorizer,WordnetLemmatizer. It is implemented using LSTM and Word Embeddings to gain accuracy of 97.84%.

THIS PROJECT IS ABOUT TURKISH SENTIMENT ANALYSIS

Gibbs Sampling Dirichlet Multinomial Model (GSDMM) for Short-Text Clustering

In this repository I have utilised 6 different NLP Models to predict the sentiments of the user as per the twitter reviews on airline. The dataset is Twitter US Airline Sentiment. The best models each from ML and DL have been deployed. It employs text preprocessing,

THIS PROJECT IS ABOUT TURKISH DICTIONARY(RULES) BASED SENTIMENT ANALYSIS

Legal Up recommends suitable lawyers⚖️ to clients based on concise case descriptions? using advanced algorithms, ensuring clients find the right legal expertise. ?

Spanish Sentiment Analysis using Multinomial Naive Bayes

Binary text difficulty classification with tf-idf, word2vec, and other linguistic features with multinomial naive bayes, logistic regression, and gradient boosted decision trees.

This repository contains the code source of the Heterogeneous Sequential Feature Forest Flow (HS3F) method.

Multinomial classification tasks in Reddit