201 Open source projects that are alternatives of or similar to word2vec

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

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

Graph Embedding via Frequent Subgraphs

A practical movie recommend project based on Item2vec.

Pre-trained word vectors of 30+ languages

document embedding and machine learning script for beginners

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

No description or website provided.

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Word2Vec iOS port

RUSSE: Russian Semantic Evaluation.

Topic Modelling for Humans

Word2Vec encodings based search engine for Stackoverflow questions

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

基于情感字典和机器学习的股市舆情情感分类可视化Web

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

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

Arabic Word Embeddings Word2vec

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

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

Remove problematic gender bias from word embeddings.

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

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

Language Modeling and Text Classification in Malayalam Language using ULMFiT

Exploring the simple sentence similarity measurements using word embeddings

text2vec, chinese text to vetor.(文本向量化表示工具，包括词向量化、句子向量化、句子相似度计算)

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

Cukatify is a music social media project

TextAugment: Text Augmentation Library

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.

An evaluation of word-embeddings for classification

A word2vec negative sampling implementation with correct CBOW update.

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

Oxford Deep NLP 2017 course - Practical 1: word2vec

An unofficial implementation of asm2vec as a standalone python package

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

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

Python interface to Google word2vec

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

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.

Sarcasm Detection for Sentiment Analysis

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

skip-gram for Chinese word2vec base on tensorflow

对四种句子/文本相似度计算方法进行实验与比较

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）

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

Recommendation based on sequence

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

nlp lecture-notes and source code

Log Anomaly Detection - Machine learning to detect abnormal events logs

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

entity2rec generates item recommendation using property-specific knowledge graph embeddings

Visualize large text collections with WebGL

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

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

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.

Benchmarks for intrinsic word embeddings evaluation.

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

Implementation of Grad-CAM for text.