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Related Questions
- What are the key steps involved in training a machine learning model to classify text as positive or negative?
- How does the model learn to associate specific words or phrases with positive or negative sentiment?
- What role does data preprocessing play in preparing the text data for classification?
- Can you explain the difference between supervised and unsupervised learning in the context of text classification?
- How does the model handle nuances of language, such as sarcasm or figurative language, in its classification?
- What are some common techniques used to improve the accuracy of text classification models?
- How does the model learn to generalize to new, unseen text data?
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