435 Open source projects that are alternatives of or similar to Nepali-News-Classifier

📖 Use Bi-normal Separation to find document vectors which is used to compute similarity for shorter sentences.

naive bayes in php

Naive Bayes Classification used to classify movie reviews as positive or negative

Multi-class text categorization using state-of-the-art pre-trained contextualized language models, e.g. BERT

"20 newsgroups" dataset - Text Classification using Multinomial Naive Bayes in Python.

Machine learning based text classification in JavaScript using n-grams and cosine similarity

⚡ Using deep learning (MLP, CNN, Graph CNN) to classify text in TensorFlow.

Naive Bayes classifier for use in Lua

中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

OpenTC is a text classification engine using several algorithms in machine learning

Implementing Naive Bayes Classification algorithm into PHP to classify given text as ham or spam. This application uses MySql as database.

Nodejs binding for fasttext representation and classification.

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

Python library for feature selection for text features. It has filter method, genetic algorithm and TextFeatureSelectionEnsemble for improving text classification models. Helps improve your machine learning models

A Python implementation of a binary text classifier using Doc2Vec and SVM

Chatto is a minimal chatbot framework in Go.

Use machine learning in AppInventor, with easy training using text, images, or numbers through the Machine Learning for Kids website.

Pipeline for fast building text classification TF-IDF + LogReg baselines.

Large Data Analysis Course Project

This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

Text vectorization tool to outperform TFIDF for classification tasks

Natural language detection library for Rust. Try demo online: https://www.greyblake.com/whatlang/

A Python interface for Facebook fastText

Implementation of algorithm in keyword extraction,including TextRank,TF-IDF and the combination of both

liblinear bindings for Go

Extracts key terminology (n-grams) from any large collection of documents (>1000) and forecasts emergence

Using a Naive Bayes Classifier gets possible diseases from symptoms

基于scikit-learn实现对新浪新闻的文本分类，数据集为100w篇文档，总计10类，测试集与训练集1:1划分。分类算法采用SVM和Bayes，其中Bayes作为baseline。

This repo contains a PyTorch implementation of a pretrained BERT model for text classification.

NLP in Python with Deep Learning

中文文本分析工具包（包括- 文本分类 - 文本聚类 - 文本相似性 - 关键词抽取 - 关键短语抽取 - 情感分析 - 文本纠错 - 文本摘要 - 主题关键词-同义词、近义词-事件三元组抽取）

Language Modeling and Text Classification in Malayalam Language using ULMFiT

汽车行业用户观点主题及情感识别

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

Create ML playgrounds for building machine learning models. For developers and data scientists.

Source code for the EMNLP 2020 paper "Cold-Start and Interpretability: Turning Regular Expressions intoTrainable Recurrent Neural Networks"

NLP tutorial

Naive Bayes Classifier in Swift for Mac and iOS

Food recommendation tool with Machine learning.

run a multitude of classifiers on you data and get an AUC report

Topic modelling on financial news with Natural Language Processing

A tutorial & minimal example (8min on CPU) for Graph Convolutional Networks for Text Classification. AAAI 2019

NLP with NLTK for Sentiment analysis amazon Products Reviews

Indonesian twitter dataset for emotion classification task

This repo contains a PyTorch implementation of a pretrained ERNIE model for text classification.

Document classification using Latent semantic analysis in python

Keras implementation of Character-level CNN for Text Classification

Very deep CNN for text classification

a small collection of models implemented in keras, including matrix factorization(recommendation system), topic modeling, text classification, etc. Runs on tensorflow.

The aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will be used a Tweets dataset provided by Kaggle.

Easy, fast clustering of texts

📜 lyrics collection

Visual exploration of clustered data.

Python implementation of Andrew Ng's ML course projects

finetune bert for small dataset text classification in a few-shot learning manner using ProtoNet

An evaluation of word-embeddings for classification

Extrapolate gender from first names using Naïve-Bayes and PyTorch Char-RNN

This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition

A pytorch implemented classifier for Multiple-Label classification

It is a content based recommender system that uses tf-idf and cosine similarity for N Most SImilar Items from a dataset