Bag-of-Concepts: Comprehending Document Representation through Clustering Words in Distributed Representation
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PDF] Distributed Representations of Words and Phrases and their Compositionality | Semantic Scholar
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The distributed bag-of-words model - Mastering Machine Learning with Spark 2.x [Book]
Word2Vec: A Study of Embeddings in NLP - PyImageSearch
Bag of Words: Approach, Python Code, Limitations
On word embeddings - Part 1
The influence of preprocessing on text classification using a bag-of-words representation | PLOS ONE
NLP 101: Word2Vec — Skip-gram and CBOW | by Ria Kulshrestha | Towards Data Science
Distributed representations of atoms and materials for machine learning | npj Computational Materials
A Gentle Introduction to the Bag-of-Words Model - MachineLearningMastery.com
Bag of Words: Approach, Python Code, Limitations
Two minutes NLP — Doc2Vec in a nutshell | by Fabio Chiusano | NLPlanet | Medium
From Word Embeddings to Pretrained Language Models — A New Age in NLP — Part 1 | by Shreya Ghelani | Towards Data Science
Sentence embeddings - John Brandt
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Distributed Representations of Sentences and Documents
Text Representation
Distributed Representations of Sentences and Documents
A guide to document embeddings using Distributed Bag-of-Words (DBOW) model
Bag-of-concepts: Comprehending document representation through clustering words in distributed representation - ScienceDirect
Word Embeddings for NLP. Understanding word embeddings and their… | by Renu Khandelwal | Towards Data Science
Tomáš Mikolov - Distributed Representations for NLP
word2vec | TensorFlow Core
Frontiers | Symbolic, Distributed, and Distributional Representations for Natural Language Processing in the Era of Deep Learning: A Survey
