From the course: Customer Insights and Consumer Analytics for Organizations: Tools and Analysis
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Identify advocates with Python
From the course: Customer Insights and Consumer Analytics for Organizations: Tools and Analysis
Identify advocates with Python
- [Instructor] Customers are talking about you and your competitors all of the time. And a lot of what they're saying is posted to the web for you to assess. So it's a great opportunity to really understand how customers think and feel. Let's say for example, that you're responsible for customer experience for a company in the financial services industry. So, you need to know what products and services are driving advocacy, and which ones customers are turned off by. So in this video, I'll show you how you can use Python, and natural language processing, what's known as NLP, to extrapolate these types of insights. So one of the columns in our data is customer remarks. Now, this data has been anonymized to protect PII, but it's still a good example to see how you might use something like this with your own customer data. To see what we're working with, we can do something like this. We can say, df.remarks, and we can just look at a couple of those so we can get a sense of what we're…
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