tf-idf

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.

Fuzzy string matching, grouping, and evaluation.

Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang

Machine Learning Lectures at the European Space Agency (ESA) in 2018

Python文本挖掘系统 Research of Text Mining System

An extremely simple Python library to perform TF-IDF document comparison.

Text2Text: Cross-lingual natural language processing and generation toolkit

Vietnamese NLP Toolkit for Node

Natural Language Processing (NLP) library for Crystal

several methods for text classification

Text vectorization tool to outperform TFIDF for classification tasks

Implementation with some extensions of the paper "Snowball: Extracting Relations from Large Plain-Text Collections" (Agichtein and Gravano, 2000)

Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsupervised ML-based analysis of application text data.

Simple NLP in Rust with Python bindings

This repository consists of a complete guide on natural language processing (NLP) in Python where we'll learn various techniques for implementing NLP including parsing & text processing and understand how to use NLP for text feature engineering.

IResearch is a cross-platform, high-performance document oriented search engine library written entirely in C++ with the focus on a pluggability of different ranking/similarity models

Keyword extraction based on TF-IDF on specific corpus. 基于特定语料库的TF-IDF的中文关键词提取

Arabic Open Domain Question Answering System using Neural Reading Comprehension

Fast, efficient, in-memory Full Text Search for Kotlin

Social Analysis based on Whatsapp data

Term frequency–inverse document frequency for Chinese novel/documents implemented in python.

Natural Language Processing for Spanish in Node.js. Stemmer, sentiment analysis, readability, tf-idf with batteries, concordance and more!

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

商品类目预测，使用 Spring Boot 开发框架和 Spark MLlib 机器学习框架，通过 TF-IDF 和 Bayes 算法，训练出一个商品类目预测模型。该模型可以根据商品名称自动预测出商品类目。项目对外提供 RESTFul 接口。

A practical guide to topic mining and interactive visualizations

An example project using a feed-forward neural network for text sentiment classification trained with 25,000 movie reviews from the IMDB website.

FBLYZE is a Facebook scraping system and analysis system.