201 Open source projects that are alternatives of or similar to Word2VecJava

Cukatify is a music social media project

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

An evaluation of word-embeddings for classification

Creating word embeddings from scratch and visualize them on TensorBoard. Using trained embeddings in Keras.

对四种句子/文本相似度计算方法进行实验与比较

Visualize large text collections with WebGL

A word2vec negative sampling implementation with correct CBOW update.

nlp lecture-notes and source code

An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.

Hyperstar: Negative Sampling Improves Hypernymy Extraction Based on Projection Learning.

Scripts demo-ing how to train a Word2Vec model and reduce its vector space

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

同名论文消歧的工程化方案（参考2019智源-aminer人名消歧竞赛第一名方案）

Exploring the simple sentence similarity measurements using word embeddings

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

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.

code for "Determining Gains Acquired from Word Embedding Quantitatively Using Discrete Distribution Clustering" ACL 2017

Oxford Deep NLP 2017 course - Practical 1: word2vec

Rust interface to word2vec.

Python interface to Google word2vec

An unofficial implementation of asm2vec as a standalone python package

结合python一起学习自然语言处理 (nlp): 语言模型、HMM、PCFG、Word2vec、完形填空式阅读理解任务、朴素贝叶斯分类器、TFIDF、PCA、SVD

TextAugment: Text Augmentation Library

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

skip-gram for Chinese word2vec base on tensorflow

Word2Vec iOS port

Pre-trained word vectors of 30+ languages

No description or website provided.

Language Modeling and Text Classification in Malayalam Language using ULMFiT

A personal semantic search engine capable of surfacing relevant bookmarks, journal entries, notes, blogs, contacts, and more, built on an efficient document embedding algorithm and Monocle's personal search index.

Implementation of Grad-CAM for text.

A comprehensive approach on recognizing emotion (sentiment) from a certain tweet. Supervised machine learning.

RUSSE: Russian Semantic Evaluation.

Bu Uyghur yéziqini Pythonning gensim ambiridiki word2vec algorizimida sinap baqqan misal.

A practical movie recommend project based on Item2vec.

Receipt.ID is a multi-label, multi-class, hierarchical classification system implemented in a two layer feed forward network.

Arabic Word Embeddings Word2vec

cw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information

Word2Vec encodings based search engine for Stackoverflow questions

基于情感字典和机器学习的股市舆情情感分类可视化Web

NLP Predtrained Embeddings, Models and Datasets Collections(NLP_PEMDC). The collection will keep updating.

Making sense embedding out of word embeddings using graph-based word sense induction

document embedding and machine learning script for beginners

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

Benchmarks for intrinsic word embeddings evaluation.

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

Bag of words meets bags of popcorn in Python 3 中文教程

About Text Pairs (Sentence Level) Classification (Similarity Modeling) Based on Neural Network.

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

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Graph Embedding via Frequent Subgraphs

Remove problematic gender bias from word embeddings.

A pipeline for training word embeddings using word2vec on wikipedia corpus.

A two-stream convolutional neural network for learning abitrary similarity functions over two sets of training data

A very simple, bare-bones, inefficient, implementation of skip-gram word2vec from scratch with Python

wmd4j is a Java library for calculating Word Mover's Distance (WMD)

Sarcasm Detection for Sentiment Analysis

Extremely simple and fast word2vec implementation with Negative Sampling + Sub-sampling

Recommendation based on sequence