Hacker News

APRIL 18, 2024

You can find it in the turning of the seasons, in the way sand trails along a ridge, in the branch clusters of the creosote bush or the pattern of its leaves. Word2vec is a method to efficiently create word embeddings and has been around since 2013. Yet, it is possible to see peril in the finding of ultimate perfection.

Natural Language Processing 118

Natural Language Processing Clustering Machine Learning Machine Learning 118

AWS Machine Learning Blog

FEBRUARY 2, 2024

Embeddings capture the information content in bodies of text, allowing natural language processing (NLP) models to work with language in a numeric form. Then we use K-Means to identify a set of cluster centers. A visual representation of the silhouette score can be seen in the following figure.

AWS 108

AWS Clustering ETL Database 108

Mlearning.ai

APRIL 1, 2023

NLP A Comprehensive Guide to Word2Vec, Doc2Vec, and Top2Vec for Natural Language Processing In recent years, the field of natural language processing (NLP) has seen tremendous growth, and one of the most significant developments has been the advent of word embedding techniques.

Deep Learning 52

Deep Learning Deep Learning Natural Language Processing Clustering 52

Towards AI

APRIL 8, 2024

While numerous techniques have been explored, methods harnessing natural language processing (NLP) have demonstrated strong performance. Understanding Word2Vec Word2Vec is a pioneering natural language processing (NLP) technique that revolutionized the way we represent words in vector space.

Natural Language Processing 60

Natural Language Processing Clustering Algorithm AI 60

Mlearning.ai

MARCH 9, 2023

Automated algorithms for image segmentation have been developed based on various techniques, including clustering, thresholding, and machine learning (Arbeláez et al., 2013; Goodfellow et al., Generative adversarial networks-based adversarial training for natural language processing. 2012; Otsu, 1979; Long et al.,

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

DrivenData Labs

DECEMBER 7, 2023

Solvers submitted a wide range of methodologies to this end, including using open-source and third party LLMs (GPT, LLaMA), clustering (DBSCAN, K-Means), dimensionality reduction (PCA), topic modeling (LDA, BERT), sentence transformers, semantic search, named entity recognition, and more. and DistilBERT.

Natural Language Processing 130

Natural Language Processing Clustering Data Science Data Analysis 130