- Learning Objectives
- This shortlist will help user the basic concepts of vector semantics, word and vectors, embedding. In addition learn types vector space models namely the tf-idf and Word2vec.
- Potential Use Cases
- Vector space models are used in information filtering, information retrieval, plagiarism detection, news recommender system, comparing, indexing and relevancy rankings of text documents.
- Target Audience
- BEGINNERData Scientist new to NLP