Machines’ key to understanding humans: how I used natural language processing to analyze human sentiment and draw conclusions.

How can machines make sense of text and why should we want them to?

Using natural language processing and machine learning to analyze customer sentiment.

An example of how natural language processing can be used to help analyze important information in reviews and improve customer experience.

Building the algorithm with NLP and ML

Rating: 5/5
Review: I loved this product. I loved how easy it was to use and how convenient it was to bring it around. Had great usability. Would recommend it to anyone!

Here is a list of some of the most common stopwords in English

How can YOU use NLP and sentiment analysis to your advantage?

Check out my project!

Recently, I used all of these concepts to create a sentiment analysis algorithm to help out Barclays Center in Brooklyn. I used my algorithm to analyze customer reviews to figure out what people most liked and disliked about Barclays Center. Make sure to check out my project below where I explain exactly how I made everything and how it works!

Learn about my sentiment analysis algorithm here!

Key Takeaways

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