An advanced method for Skipgram which has support n-grams in Vietnamese
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Updated
Mar 28, 2018 - Python
An advanced method for Skipgram which has support n-grams in Vietnamese
Retrofitted (domain-adapted) word vectors with Word2Vec skip-gram model
A Basic Word2Vector WordEmbeddings Model. With image2Vector and Audio2Vector Encoding and decoding. (Audio is not great but works NEeds improvement - but can be reconstructred)
Word2Vec C model by Tomas Mikolov from svn Google's repo.
Word2Vec skip-gram implementation from scratch
An AI based meeting agenda generator that jots down a gist of latest news related to stocks and performs sentiment analysis on every point generated.
SkipGram algorithm with negative sampling
Keras implementation of skipgram and cbow
This repository contains code for learning word2vec embeddings using skip-gram model
Projects for Data Mining and Analytics
This project aims to implement various word embedding methods.
Conducted intrinsic evaluation of word embeddings through analogy and similarity tests, comparing the custom Skip-gram model’s performance against Google’s pre-trained Word2Vec model to assess the quality of the generated word representations.
Recommender systems, 2017-18
SkipGram Feature Generator: Generates text-based features using Spark's Word2Vec.
Demystifying Deep Learning and NLP
A word2vec embedding, called Continuous Skip Gram Model encodes each word to a Vector depending on how closely they are related or how often they are used along.
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