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Word embeddings: how to transform text into numbers
Improving Document Classification with Multi-Sense Embeddings arXiv:1911.07918v1 [cs.CL] 18 Nov 2019
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Dimensionality reduction techniques
Graph-based bag-of-words for classification - ScienceDirect
Word embeddings in NLP: A Complete Guide
Feature Extraction and Embeddings in Natural Language Processing
How Bag of Words (BOW) Works in NLP
From Word Embeddings to Pretrained Language Models — A New Age in NLP — Part 1 | by Shreya Ghelani | Towards Data Science
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Sensors | Free Full-Text | A Method of Short Text Representation Based on the Feature Probability Embedded Vector
Aerospace | Free Full-Text | Natural Language Processing Based Method for Clustering and Analysis of Aviation Safety Narratives
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Dimensionality reduction for bag-of-words models: PCA vs LSA
What is Dimensionality Reduction? Overview, and Popular Techniques
Frontiers | Task-Optimized Word Embeddings for Text Classification Representations
Continuous Bag-of-words (CBOW, CB) and Skip-gram (SG) training model... | Download Scientific Diagram
LDA2vec Topic Modelling | DataCamp
Topic Modeling with BERTopic - Talking Language AI Ep#1
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PDF] Dimensionality reduction for bag-of-words models: PCA vs LSA | Semantic Scholar
Word Embeddings for NLP. Understanding word embeddings and their… | by Renu Khandelwal | Towards Data Science
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