What is the significance of the word ID in the multi-hot encoded array and how does it relate to the presence or absence of words in a review?
The word ID in a multi-hot encoded array holds significant importance in representing the presence or absence of words in a review. In the context of natural language processing (NLP) tasks, such as sentiment analysis or text classification, the multi-hot encoded array is a commonly used technique to represent textual data. In this encoding scheme,
What is the purpose of transforming movie reviews into a multi-hot encoded array?
Transforming movie reviews into a multi-hot encoded array serves a crucial purpose in the field of Artificial Intelligence, specifically in the context of solving overfitting and underfitting problems in machine learning models. This technique involves converting textual movie reviews into a numerical representation that can be utilized by machine learning algorithms, particularly those implemented using