How can I analyze feedback for my AI project?
You can start by categorizing the feedback into themes, then quantify the sentiment and identify key areas for improvement.
What tools can I use for sentiment analysis?
Some popular tools include Natural Language Toolkit (NLTK), TextBlob, and commercial options like MonkeyLearn.
How do I categorize feedback effectively?
You can use tags or labels based on common keywords, or employ machine learning models to classify feedback automatically.
What metrics should I track after implementing changes?
Track user satisfaction scores, engagement metrics, and the frequency of feedback to measure the impact of your changes.
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