Word2Vec
a technique in natural language processing (NLP) that provides vector representations of words
Areas of application
- text classification
- sentiment analysis
- information retrieval
- machine translation
- question answering
- speech recognition
Example
The Word2Vec algorithm can be used to represent the word ‘dog’ as a vector (e.g. [0.7, 0.3, 0.4]) that captures its semantic and syntactic qualities in a context