Text summarization using seq2seq in Keras

TextRank implementation for Python 3.

Python Framework for Extractive Text Summarization

Multiple implementations for abstractive text summurization , using google colab

文本挖掘和预处理工具（文本清洗、新词发现、情感分析、实体识别链接、关键词抽取、知识抽取、句法分析等），无监督或弱监督方法

Dataset for CIKM 2018 paper "Multi-Source Pointer Network for Product Title Summarization"

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Code for paper "Discourse-Aware Neural Extractive Text Summarization" (ACL20)

The guide to tackle with the Text Summarization

An implementation of skip-thought vectors in Tensorflow

Well tested & Multi-language evaluation framework for text summarization.

Tensorflow seq2seq Implementation of Text Summarization.

On Generating Extended Summaries of Long Documents

自然语言处理工具Macropodus，基于Albert+BiLSTM+CRF深度学习网络架构，中文分词，词性标注，命名实体识别，新词发现，关键词，文本摘要，文本相似度，科学计算器，中文数字阿拉伯数字(罗马数字)转换，中文繁简转换，拼音转换。tookit(tool) of NLP，CWS(chinese word segnment)，POS(Part-Of-Speech Tagging)，NER(name entity recognition)，Find(new words discovery)，Keyword(keyword extraction)，Summarize(text summarization)，Sim(text similarity)，Calculate(scientific calculator)，Chi2num(chinese number to arabic number)

Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.

Text summarization starting from scratch.

💨Making communication📞easier and faster🚅for all 👦 + 👧 + 👴 + 👶 + 🐮 + 🐦 + 🐱

搜索所有中文NLP数据集，附常用英文NLP数据集

Tensorflow re-implementation of GAN for text summarization

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.