Sentiment Analysis on Solar Energy With NLP And Python

Author(s): Dennis Niggl

Originally published on Towards AI.

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“When captured electronically, customer sentiment — expressions beyond facts, that convey mood, opinion, and emotion — carries immense business value. We’re talking the voice of the customer, and of the prospect, patient, voter, and opinion leader.”

– Seth Grimes

Photo by Vivint Solar on Unsplash

Introduction

There is an urgent need for action on climate change. We see widespread fires, floods, droughts, hurricanes, and tornadoes on a regular basis. According to the National Oceanic and Atmospheric Administration, climate disasters in the U.S. during 2021 cost $145 billion and resulted in the deaths of… Read the full blog for free on Medium.

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Published via Towards AI