Text Item Vectorization System

A Text Item Vectorization System is a vectorization system that can solve a text item vectorization task.

• Example(s):
  • sklearn.feature_extraction.text.CountVectorizer[1].
  • word2vec.
  • …
• Counter-Example(s):
  • DNA Sequence Vectorization System.
• See: Corpus-based Vectorization System.

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References

2014

• https://code.google.com/p/word2vec/
  • QUOTE: The word2vec tool takes a text corpus as input and produces the word vectors as output. It first constructs a vocabulary from the training text data and then learns vector representation of words. The resulting word vector file can be used as features in many natural language processing and machine learning applications.

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