Parkinson\'s Disease Prediction using Machine Learning Methods and Large Amounts of Data
Parkinson\'s Disease Prediction using Machine Learning Methods and Large Amounts of Data
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Original abstract
Abstract: As the web becomes increasingly popular based on the quality of customer reviews, the field of sentiment analysis (also known as sentiment distribution, decision mining, sentiment mining, and thought mining) has received academic attention for many more years over the past few years. A critical analysis requires thinking about the content, sentences and context of the document and provides a recommendation and strength to the article. It is known that the opinions of buyers are expressed in loud Chinese sentences. However, due to the unconventional nature of typing in Chinese, machine learning methods cannot distinguish sentences that are highly recommended. We like to approach the problem with a semantic approach, mainly referring to the meaning of thinking about thinking, which is emotional. The results show that this combined theory test provides the greatest flexibility of the task.