Word Embedding Techniques in NLP
Word Embedding Techniques can mostly be classified into two categories:
- Frequency-based Embeddings
- Prediction-based Embeddings
Word Embedding Techniques in NLP
Word embedding techniques are a fundamental part of natural language processing (NLP) and machine learning, providing a way to represent words as vectors in a continuous vector space. In this article, we will learn about various word embedding techniques.
Table of Content
- Importance of Word Embedding Techniques in NLP
- Word Embedding Techniques in NLP
- 1. Frequency-based Embedding Technique
- 2. Prediction-based Embedding Techniques
- Other Word Embedding Techniques
- FAQs on Word Embedding Techniques
Word embeddings enhance several natural language processing (NLP) steps, such as sentiment analysis, named entity recognition, machine translation, and document categorization.