Topic Modelling for Humans

A fast, efficient universal vector embedding utility package.

🦆 Use NLP to go beyond vanilla word2vec

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.

NLP 相关的一些文档、论文及代码, 包括主题模型(Topic Model)、词向量(Word Embedding)、命名实体识别(Named Entity Recognition)、文本分类(Text Classificatin)、文本生成(Text Generation)、文本相似性(Text Similarity)计算、机器翻译(Machine Translation)等，涉及到各种与nlp相关的算法，基于keras和tensorflow。

NLP, Text Mining and Machine Learning starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, keyword extraction with TFIDF, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

Data repository for pretrained NLP models and NLP corpora.

Fast word vectors with little memory usage in Python

中文詞向量訓練教學

ADAM - A Question Answering System. Inspired from IBM Watson

A collection of supervised learning models based on shallow neural network approaches (e.g., word2vec and fastText) with some additional exclusive features. Written in Python and fully compatible with Scikit-learn.

Continuous Machine Learning Training and Deployment on AWS SageMaker

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

AraVec is a pre-trained distributed word representation (word embedding) open source project which aims to provide the Arabic NLP research community with free to use and powerful word embedding models.

The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).

Using pre trained word embeddings (Fasttext, Word2Vec)

Web-ify your word2vec: framework to serve distributional semantic models online

Compute Sentence Embeddings Fast!

Hybrid Code Networks https://arxiv.org/abs/1702.03274

A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).

document embedding and machine learning script for beginners

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

A text analysis application for performing common NLP tasks through a web dashboard interface and an API

Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.

Pre-trained Word2Vec Model for Turkish

Text classification using Doc2Vec

Word2vec (word to vectors) approach for Japanese language using Gensim and Mecab.

Repo for my talk at the PyData Berlin 2017 conference

gensim 中文文档