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GitHubLíon na míonna: 5

ibrahim-shedo/Training-a-Word2Vec-Model-in-Python

This script demonstrates the process of loading and processing textual data for training a Word2Vec model. It tokenizes a given text corpus, removes punctuation, and attempts to test a pre-trained ...
GitHubLíon na míonna: 2

Basic Word2Vec variants "from scratch": Python+Numpy code, Understand Deep Learning math

Rong's paper is a great intro to Word2Vec: elementary, complete, and self-contained, even sketching neural networks in Appendix A. But maybe you're say a linguist, and this is new to you, and doesn't ...
IEEELíon na míonna: 10

Comparing LSTM Algorithm with Word Embedding: FastText and Word2Vec in Bahasa Batak-English Translation

Abstract: The Long-Short Term Memory (LSTM) algorithm is an advancement of the Recurrent Neural Network (RNN) method inspired by the thought patterns of humans. LSTMsand RNNs are often employed in ...
IEEELíon na míonna: 3

Evaluating Word2Vec and WordNet for Semantic Similarity at Myanmar Word and Sentence Levels

Abstract: One of the most important NLP processes is word embedding, which converts words into numerical vectors for various NLP tasks. Although Word2Vec has been widely used for word embeddings in ...
Óstáilte ar MSNLíon na míonna: 4

Word2vec From Scratch — How Word Embeddings Are Actually Trained (Part 1)

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