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"The use of machine learning algorithms in natural language processing tasks such as sentiment analysis has become increasingly popular in recent years. However, the problem of overfitting remains a major challenge in such applications. We propose a novel approach based on ensemble learning using a combination of multiple machine learning algorithms and feature selection techniques to mitigate the effects of overfitting. Our experiments on a sentiment analysis task demonstrate the effectiveness of our approach, achieving a significantly higher accuracy compared to traditional methods."
1. What are natural language processing tasks that utilize machine learning algorithms?
2. What is the problem associated with using machine learning algorithms for sentiment analysis?
3. What approach do the authors propose to mitigate overfitting in sentiment analysis?
4. What is the outcome of the experiments conducted by the authors using their proposed approach?