netisheth/Churn-Prediction-and-Analysis
Extracted live tweets of customers by using Twitter APIs to create automatic rule-based churn detection algorithm for Verizon, AT&T and T-Mobile.
This project helps mobile carriers understand why their customers might leave by analyzing tweets. It takes raw customer tweets mentioning major carriers like Verizon, AT&T, and T-Mobile, and identifies sentiments, common issues, and even potential churn signals. Customer service managers, marketing analysts, and competitive intelligence teams can use this to gauge public perception and proactively address concerns to improve customer retention.
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Use this if you need to quickly understand public sentiment about mobile carriers and identify potential churn reasons from social media conversations.
Not ideal if you require real-time, highly nuanced, or legally compliant sentiment analysis beyond publicly available tweet data.
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Last pushed
Dec 20, 2021
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