How can I analyze customer feedback effectively?
You can start by categorizing feedback into themes, then use sentiment analysis to gauge customer emotions.
What tools can I use for sentiment analysis?
Some popular tools include Google Cloud Natural Language, IBM Watson, and sentiment analysis libraries in Python like TextBlob.
How do I categorize feedback into themes?
You can use methods like affinity diagramming or thematic analysis to group similar feedback together.
Can you give me an example of a theme?
Sure! A common theme might be 'customer service experience,' where feedback relates to support interactions.
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