Comparing VADER and Text Blob to Human Sentiment

I recently worked on a text classification project which used Tweets that included sentiment labels. I was curious how these human-provided labels would differ from popular sentiment detection tools. I chose two tools, VADER and Text Blob, and ran a little experiment. You can find code for the complete experiment here, but I’ll include a few code snippets as I go along.

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How AI has enhanced Sentiment Analysis using Product Review data

Customer feedback is great. But have you been able to turn that feedback into meaningful customer insights? A few years back, brands depended on surveys to gauge customers’ feelings about how their products were performing.  From the product reviews, they were able to somehow get a grip on the general feeling of good, bad, or neutral response to their marketing campaign or product. There is, however, so much more information in the form of unstructured data that brands need to lay their hands on to better analyze the sentiments of their customers. 

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AI researchers made a sarcasm detection model and it’s sooo impressive

Researchers in China say they’ve created sarcasm detection AI that achieved state-of-the-art performance on a dataset drawn from Twitter. The AI uses multimodal learning that combines text and imagery since both are often needed to understand whether a person is being sarcastic. The researchers argue that sarcasm detection can…

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Cogito raises $25 million to analyze phone calls with AI

Boston-based call analytics startup Cogito today closed a $25 million convertible debt round led by Goldman Sachs Growth Equity, Salesforce Ventures, and other new and existing investors. The company says this latest capital will be used to expand its go-to-market efforts and accelerate the development of new products.

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