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What is the main reason to use an RNN (Recurrent Neural Network) for text classification tasks?

easy📝 Conceptual Q11 of 15
NLP - Sequence Models for NLP
What is the main reason to use an RNN (Recurrent Neural Network) for text classification tasks?
ABecause RNNs only work with images
BBecause RNNs are faster than other neural networks
CBecause RNNs do not require any training data
DBecause RNNs can remember the order of words and context in sentences
Step-by-Step Solution
Solution:

  1. Step 1: Understand RNN's role in text

    RNNs process sequences of words one by one, keeping track of previous words to understand context.

  2. Step 2: Identify why order matters

    Text meaning depends on word order, and RNNs remember this order, unlike simple models.

  3. Final Answer:

    Because RNNs can remember the order of words and context in sentences -> Option D

  4. Quick Check:

    RNN remembers sequence = D [OK]
Quick Trick: RNNs are for sequences and context, not speed or images [OK]
Common Mistakes:
MISTAKES
  • Thinking RNNs are faster than other models
  • Believing RNNs don't need training data
  • Confusing RNNs with image-only models

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