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

Using pre trained word embeddings (Fasttext, Word2Vec)

Implementing Facebook's FastText with java

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

基于知识库信息的词向量模型

Storage and retrieval of Word Embeddings in various databases

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.

No description provided.

Extending conceptual thinking with semantic embeddings.

Aspect-Based Sentiment Analysis

Repository for the experiments described in my paper titled "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

:book: :books: :newspaper: Workshop that demonstrates using and analyzing text in R.

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

RiverText is a framework that standardizes the Incremental Word Embeddings proposed in the state-of-art. Please feel welcome to open an issue in case you have any questions or a pull request if you want to contribute to the project!

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

Code and data related to "Efficient, Compositional, Order-Sensitive n-gram Embeddings" (EACL 2017)

Diachronic Word Embedding Model based on Word2vec Skip-gram with Chebyshev approximation

Visualize word2vec in javascript

A Persian Word2Vec Model trained by Wikipedia articles

Twitter Text Sentiment Analysis (Preprocessing using Spacy)

Icelandic Word Embeddings. Here you can find pre-trained corpora of word embeddings. Current methods: CBOW, Skip-Gram, Fast-Text (from Gensim library). The .model file are available for download.

Temporal analysis of legal texts via topic modeling and word embeddings

Framework for Retrieval-Augmented Generation (RAG)

Opinion Extraction based on Amazon Reviews