Imagine you are working on a system that categorizes user feedback into positive, negative, and neutral based on certain keywords. Describe how you'd structure your control statements to efficiently categorize the feedback.
- Create a custom machine learning model
- Implement a decision tree algorithm
- Use if-else statements with keyword checks
- Utilize regular expressions for keyword matching
To efficiently categorize user feedback based on keywords, you can use if-else statements. For each feedback, check if it contains specific positive, negative, or neutral keywords. Regular expressions can also be helpful for more complex matching. While decision trees and machine learning models are powerful for sentiment analysis, they might be overkill for simple keyword-based categorization.
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