However, sentiment analysis is also being used in unexpected ways. In what could be a game-changer for marketers, the power of these algorithms can be brought to bear on a range of predictive tasks.

"Make every customer feel like they are our single customer, regardless of size. Via AI, automation and data, we can do that.

Examples of How Sentiment Analysis is Used: Customer Feedback Analysis: Businesses use sentiment analysis to assess customer reviews, emails, or chat conversations.

One of the key areas of natural language processing (NLP), a subset of artificial intelligence (AI) is sentiment analysis, the ability to understand emotional tones in speech and print. It is an ...

This is an example of sentiment analysis. In this article I show you how to get started with sentiment analysis using the Keras code library. Take a look at the demo program in Figure 1. The demo uses ...

A common way that sentiment analysis is done today is purely with text. For example if negative words are used in a review, the overall sentiment is not considered to be positive.

“So for example, a sentiment analysis model will read a passage, and it will identify a word like "terrible", it will apply a negative classification to that word (it could be a binary like yes ...

During the 2012 presidential election, USA Today ran a daily feature in which its technology partner, Topsy (since acquired by Apple), provided a sentiment score for each candidate. On May 1st ...