Sentiment analysis is the interpretation and classification of words and text into emotions. Sentiment analysis is a useful tool to measure how people are feeling about certain products or topics. Understanding customers emotions can provide a business with useful insights and help add value to any product or service. This cutting edge technology is built using powerful natural language processing mathematical algorithms and can incorporate artificial intelligence as well.

In addition to classifying content based on positive and negative our sentiment analysis is expanded to include a wider variety of emotions based on the Plutchik’s wheel of emotions. Text is also broken down into single word, two word and three word phrases for keyword optimization. There are pros and cons to using different lexicons which is why our software includes them all to ensure accurate results.

It’s estimated that 80% of the world’s data is unstructured, in other words it’s unorganized. Huge volumes of text data (emails, support tickets, chats, social media conversations, surveys, articles, documents, etc), is created every day but it’s hard to analyze, understand, and sort through, not to mention time-consuming and expensive.