Download our User Guide to Better Understand Results from Customer Sentiment Analysis on Twitter 


In this guide you will see how we extracted a large number of tweets and analyzed them to detect the sentiment, the polarity and the topic. After reading this user guide, you will be better equipped and have a broader understanding of how to interpret data received from Bitext's Customer Sentiment Analysis platform.

With a 90% accuracy in the analysis of the comments and reviews, learning about customer insights becomes an easier task! 

If you are interested in this topic and wish to learn more, join our blog and read our post titled: Insights from 140 Characters: #Twitter #SentimentAnalysis

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