Text-Item Embedding System

A Text-Item Embedding System is a item embedding system that implements a text item embedding algorithm to solve a text item embedding task (to convert text items into a text item embeddings).

• Context:
  • It can (often) support applications like semantic search, text classification, text clustering, and information retrieval by facilitating the comparison of textual information in vector space.
  • It can (often) support various levels of text granularity, including word embeddings, sentence embeddings, paragraph embeddings, and document embeddings.
  • ...
• Example(s):
  • Document Embedding System (for document embeddings).
  • Paragraph Embedding System (for paragraph embeddings).
  • Sentence Embedding System (for sentence embeddings).
  • Word Embedding System (for word embeddings).
  • Subword Embedding System (for subword embeddings).
  • Character Embedding System (for character embeddings).
  • …
• Counter-Example(s):
  • Text Processing System,
  • Signal Processing System,
  • Data Processing System.
• See: Linguistic Sequence, Linguistic Unit, Subword Unit, In-Vocabulary Word, OOV Word, Language Model, Natural Language Processing System, OOV Embedding System.

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