Arabic Word Embedding models SkipGram, and GLoVE are trained over Arabic Wiki data Dump 2018 dataset from scratch using Gensim and GLoVE python libraries. Then the models are evaluated on three NLP tasks and its results are visualized in T-SNE

Analyzing biasness towards (fe)male within TV show discussions by utilizing NLP and Word2Vec

Using word embeddings to rank answers to questions in an online forum

Processamento de Linguagem Natural

This project offers advanced techniques in text preprocessing, word embeddings, and text classification. Explore methods like Word2Vec and GloVe, and master Multinomial Naive Bayes for accurate predictions. Dive into the world of text clustering and conquer challenges like unbalanced data.

Text Classification Task ( sentiment analysis ) of Twitter datasets

AS Path Relation Inference using neural networks

Embeddings and Word2Vec

Scripts for evaluating models for distributional semantics

Visualizing word similarities in Adventures of Huckleberry Finn using TSNE

Efficient Word2Vec vectors for Sentiment Analysis to improve Commercial Movie Success, done in two phases, involving machine learning and sentiment analysis.

Exploring word embeddings

cython implementation of word2vec

Scrapers built

Posting most similar words on Twitter

ML (Keras CNN using Gensim Word2Vec) twitter sentiment analyzer

Use Chinese natural language processing library to preprocess the novels and then train the word2vec model and calculate the similarity.

This package is main for translate word into vector for nlp embedding. maybe chinese maybe english, any language you want to use is ok. This is main for those who will use word2vec in local from txt files. In particular, this implementation primarily helps to construct a separate word vector matrix for embedding in local NLP tasks.