Comparison of different Word Embeddings on Text Similarity — A use case in NLP | by Intellica.AI | Medium

Brief Introduction

Comparison of different Word Embeddings on Text Similarity — A use case in NLP Intellica.AI 10 min read · Oct 4, 2019 -- 8 Listen Share Press enter or click to view image in full size Brief Introduction Natural Language Processing (NLP) is one of the key components in Artificial Intelligence (AI), which carries the ability to make machines understand human language. A lot of information is being generated in unstructured format be it reviews, comments, posts, articles, etc wherein, a large amount of data is in natural language. NLP allows machines to understand and extract patterns from such t

saved by

• Saad Khalid

related reading

• The Illustrated Word2vec – Jay Alammar – Visualizing machine learning one concept at a time.jalammar.github.io
• Word Embeddingslena-voita.github.io
• The Illustrated Word2vec – Jay Alammar – Visualizing machine learning one concept at a time.jalammar.github.io
• Introducing text and code embeddings | OpenAIopenai.com
• Sentence Embeddings. Introduction to Sentence Embeddings – hackerllamaosanseviero.github.io
• Vector embeddings | OpenAI APIdevelopers.openai.com
• Vector embeddings | OpenAI APIplatform.openai.com
• Glossary of Deep Learning: Word Embedding | by Jaron Collis | Deeper Learning | Mediummedium.com
• Embeddings: What they are and why they mattersimonwillison.net
• Don't use cosine similarity carelessly - Piotr Migdałp.migdal.pl
• Vector Similarity Explained | Pineconepinecone.io
• An intuitive introduction to text embeddings - Stack Overflowstackoverflow.blog