gensim-word2vec topic

Wikidata embedding

fnielsen

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

cmasch

Text classification with Reuters-21578 datasets using Gensim Word2Vec and Keras LSTM

giuseppebonaccorso

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

giuseppebonaccorso

Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network

rezacsedu

A simple web application for searching Word2Vec embeddings derived from approximately 2,000 law reports published by the The Incorporated Council of Law Reporting for England & Wales (https://www.iclr...

ICLRandD

Code to run LDA algorithm on Twitter/Foursquare scraped data.

panangam

Sentiment analysis for Twitter's tweet (in Indonesia language) was built with 3 models to get a comparison in determining which model gives the best results for predicting a tweet to have a positive o...

devildances

ArWordVec is a collection of pre-trained word embedding model built from huge repository of Arabic tweets in different topics. The aim of these models is to support the community in their Arabic NLP-b...

mmdoha200

Ensemble PhoBERT with FastText Embedding to improve performance on Vietnamese Sentiment Analysis tasks.

tien02