Word Sense Disambiguation
Natural Language Processing
Dense vector representations of words that capture semantic relationships.
Detailed Explanation
Word embeddings are dense vector representations of words generated through neural network models, such as Word2Vec or GloVe. They capture semantic relationships by positioning similar words closer in the vector space, allowing algorithms to understand context, analogies, and meanings more effectively in natural language processing tasks like translation, sentiment analysis, and text classification.
Use Cases
- •Improving sentiment analysis accuracy by capturing contextual similarities between words in social media reviews.
Related Terms
Other terms in the Natural Language Processing category