70 Open source projects that are alternatives of or similar to KeywordExtraction

🌳从中文文本中自动提取关键词和摘要

使用tf-idf, TextRank4ZH等不同方式从中文文本中提取关键字，从中文文本中提取摘要和关键词

微博自动摘要系统 Chinese Microblog Automatic Summary System

Problem Statement: Given a particular PDF/Text document ,How to extract keywords and arrange in order of their weightage using Python?

Text vectorization tool to outperform TFIDF for classification tasks

Python文本挖掘系统 Research of Text Mining System

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

FBLYZE is a Facebook scraping system and analysis system.

Fast Full Text Search based on BM25

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.

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

Fuzzy string matching, grouping, and evaluation.

Natural Language Processing (NLP) library for Crystal

Text2Text: Cross-lingual natural language processing and generation toolkit

TextRank implementation for C#

Watchman: An open-source social-media event-detection system

Simple NLP in Rust with Python bindings

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

Word analysis, by domain, on the Common Crawl data set for the purpose of finding industry trends

A practical guide to topic mining and interactive visualizations

一个短视频app文本审核模块的实现思路及demo

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

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

🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/

Topic modelling on financial news with Natural Language Processing

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

several methods for text classification

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

基于Nonebot的QQ群机器人🤖️，特色功能是利用机器学习算法，基于每日聊天记录生成每日总结。可在酷Q/Mirai平台上运行

主要使用python+Scrapy框架去抓取新闻网站

Vietnamese NLP Toolkit for Node

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

Document classification using Latent semantic analysis in python

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

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

Given a job title and job description, the algorithm assigns a standard occupational classification (SOC) code to the job.

基于深度学习的中文NLP工具

Social Analysis based on Whatsapp data

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

An NLP tool which classifies and summarizes resumes

A web search engine built with Python which uses TF-IDF and PageRank to sort search results.

Arabic Open Domain Question Answering System using Neural Reading Comprehension

最小のサーチエンジン/PageRank/tf-idf

The greynir.is natural language processing website for Icelandic

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

Text Classification of Nepali Language Document. This Mini Project was done for the partial fulfillment of NLP Course : COMP 473.

Python implementation of TextRank for phrase extraction and summarization of text documents

Visual exploration of clustered data.

DeFactoNLP: An Automated Fact-checking System that uses Named Entity Recognition, TF-IDF vector comparison and Decomposable Attention models.

Implementing Content based and Collaborative filtering(with KNN, Matrix Factorization and Neural Networks) in Python

TextRank algorithm implementation in Javascript

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.

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

Food recommendation tool with Machine learning.

No description or website provided.

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

Machine learning movie recommending system