A curated list of pretrained sentence and word embedding models

Compute Sentence Embeddings Fast!

Using pre trained word embeddings (Fasttext, Word2Vec)

Dict2vec is a framework to learn word embeddings using lexical dictionaries.

Effective Dimensionality Reduction for Word Embeddings.

Facebook fastText database in SQLite with Go API

Bi-Directional Attention Flow for Machine Comprehensions

Persian word embedding ( نشاننده واژه ها فارسی | تعبیه سازی کلمات فارسی )

WebApplication for Similarity between Professor and Keyword based on WordEmbedding

Wrapper of Gensim word2vec along with T-SNE visualization

Data Mining Lab Session 2 (Fall 2017)

股市新聞信息與過去股價作為預測股價特徵時應提取文章數量及方法

This a part of Kaggle Competion, Toxic Comment Classification Challenge by Jigsaw .This was a multilabel classification challenge.This code is a improved version of my submission in the competion.

A Restful Web service to provide wordembedding functions

D3-Network Visualization with WordEmbedding Space

A word embedding is a learned representation for text where words that have the same meaning have a similar representation.Word embeddings are in fact a class of techniques where individual words are represented as real-valued vectors in a predefined vector space. Each word is mapped to one vector and the vector values are learned in a way that resembles a neural network

Adaptive Skip-gram implementation in Julia

A neural networks project that categorizes different poems in the dataset according to their genre

Natural Language Understanding

Natural language processing in Urdu, to create resources.

Bengali Word Embedding by using Polygot2

a practice of text sentiment classification

中文词向量

Polysemy Embedding - Iterative approach to address the sense based embedding