A native Go clean room implementation of the Porter Stemming algorithm.

A library in golang that implements the PorterStemmer algorithm for stemming words.

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%.

A simple ObjC wrapper around the Porter Stemmer algorithm

An implementation of the Porter stemming algorithm in Scala

This is a Movie Recommender System built using Streamlit and Python. It recommends similar movies based on user input and displays movie details.

Porter Stemmer in Elixir ~> 1.0.0

The Porter stemming algorithm is a process for removing the more common morphological and inflexional endings from words in English. A Swift wrapper around Martin Porter's algorithm.

基于 PorterStemmer 分词算法改进，使用 C++ 语言实现的文本分析系统.An improved text analysis system based on the PorterStemmer word segmentation algorithm, implemented in C++.

Porter stemmer algorithm written in JavaScript.

Стеммер Мартина Портера

PHP Implementation of the Porter Stemmer algorithm for Cms made simple. Russian language.

Data Cleaning | Tag Creation for Movies | Vectorization | Porterstemmer | Cosine Similarity

A repository I've created for natural language processing uses SMS data to determine whether an SMS is spam or not, using ML algorithms like multinomial naive bayes and logistic regression to compare accuracy and data cleaning and processing methods like PorterStemmer, CountVectorizer, TFIDF Vectorizer, and Wordnet Lemmatizer.

snowball_stemmers_rs: a Snowball stemmer in 38 languages, in Rust

In this exercise, you will be using support vector machines (SVMs) to build a spam classifier. Files needed for this exercise ex6.mlx - MATLAB Live Script that steps you through the exercise Part 1 ex6data1.mat - Example Dataset 1 ex6data2.mat - Example Dataset 2 ex6data3.mat - Example Dataset 3 svmTrain.m - SVM training function svmPredict.m - SVM prediction function plotData.m - Plot 2D data visualizeBoundaryLinear.m - Plot linear boundary visualizeBoundary.m - Plot non-linear boundary linearKernel.m - Linear kernel for SVM submit.m - Submission script that sends your solutions to our servers *gaussianKernel.m - Gaussian kernel for SVM *dataset3Params.m - Parameters to use for Dataset 3 Part 2 spamTrain.mat - Spam training set spamTest.mat - Spam test set emailSample1.txt - Sample email 1 emailSample2.txt - Sample email 2 spamSample1.txt - Sample spam 1 spamSample2.txt - Sample spam 2 vocab.txt - Vocabulary list getVocabList.m - Load vocabulary list porterStemmer.m - Stemming function readFile.m - Reads a file into a character string submit.m - Submission script that sends your solutions to our servers *processEmail.m - Email preprocessing *emailFeatures.m - Feature extraction from emails

porterstemmers

Command Line Porterstemmer

Implementing the porter stemmer algorithm in python 3 by reading the document on it.

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PHP5 Implementation of the Porter Stemmer algorithm.

Implementation of Porter's English stemmer algorighm

F# implementation of the Porter Stemmer algorithm

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German Porter Stemmer search plugin for the RedBeanORM

nltk PorterStemmer port for running on Google App Engine.

Spam filter on Spam Public assassin (Apache) using Python, NLTK PorterStemmer and Multinomial Naive Bayes

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

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.

Extracted users' reviews from Amazon.com and performed sentiment analysis to determine which console to purchase