Product review satisfaction evaluation -- 2

The main aim of the research is to apply machine learning to derive conclusions on customer happiness or desires. The technique that we propose is data mining. In this regard, secondary data gathering approach will be used for this, and an existing datasets will be used for analysis. The goal of using an existing datasets is to keep time to a minimum because creating a new datasets takes more time and effort, and it may not be accurate. Feature extraction is the process of transforming the text data into a set of features or numerical representations of words or phrases.

The following are the study's aims.
• To investigate customer insights gathered from Amazon data, including text analysis features.
• Arranging customers into categories based on their level of satisfaction (satisfied, dissatisfied).
• Utilizing various methodologies to compare some supervised machine learning algorithms by measuring their performance on mixed text data.