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Related Questions
- What are some common techniques used for sentiment analysis in text data?
- How does a machine learning model learn to classify text as positive or negative?
- What are the advantages and disadvantages of using a pre-trained language model for sentiment analysis?
- Can you explain the concept of oversampling and undersampling in handling class imbalance in sentiment analysis?
- How does the size of the training dataset affect the accuracy of sentiment analysis models?
- What are some common evaluation metrics used to measure the performance of sentiment analysis models?
- Can you describe the process of fine-tuning a pre-trained language model for a specific sentiment analysis task?
- How does the choice of word embeddings (e.g. word2vec, GloVe) impact the performance of a sentiment analysis model?
- What are some techniques for handling out-of-vocabulary words in sentiment analysis?
- Can you explain the concept of active learning in the context of sentiment analysis?
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