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

Implementing Facebook's FastText with java

Using pre trained word embeddings (Fasttext, Word2Vec)

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

Web服务：使用腾讯 800 万词向量模型和 spotify annoy 引擎得到相似关键词

Cross-Lingual Alignment of Contextual Word Embeddings

PyTorch implementation of the Word2Vec (Skip-Gram Model) and visualizing the trained embeddings using TSNE

Storage and retrieval of Word Embeddings in various databases

基于知识库信息的词向量模型

This repository contains source code to binarize any real-value word embeddings into binary vectors.

Dutch word embeddings, trained on a large collection of Dutch social media messages and news/blog/forum posts.

Aspect-Based Sentiment Analysis

Extending conceptual thinking with semantic embeddings.

Repository for the experiments described in the paper named "DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus"

flairR: Bring Amazing Flair NLP to R

TwitPersonality: Computing Personality Traits from Tweets using Word Embeddings and Supervised Learning

📖 📚 📰 Workshop that demonstrates using and analyzing text in R.

This project aims to implement the Transformer Encoder blocks using various Positional Encoding methods.

Improving Word Embeddings by combining word embeddings with their POS (Part Of Speech) tag.