NCA-GENM Exam Dumps | You are building a multimodal model to classify news articles using both text and images. The text data

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Question 36/192

You are building a multimodal model to classify news articles using both text and images. The text data is processed using spaCy, and image data is processed using Keras. You've noticed that the model is heavily biased towards the text dat a. Which of the following techniques would be MOST effective in addressing this modality imbalance?

A. Applying TF-IDF to the text data to reduce the impact of common words.

B. Using data augmentation techniques on the image dataset, such as random rotations and flips.

C. Implementing modality-specific weighting in the loss function, giving a higher weight to the image loss.

D. Reducing the dimensionality of the image feature vectors using Principal Component Analysis (PCA).

E. Normalizing the length of text sequences to a fixed size before feeding into the model.

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