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IBM AI Fundamentals: What is Sentiment Analysis?

Learn what sentiment analysis is and how it assesses the emotion in data as positive, negative or neutral. Key concept for the IBM Artificial Intelligence Fundamentals certification exam.

Table of Contents

Question

What is sentiment analysis?

A. A method to determine the emotion when AI reads data, such as a customer service chat
B. A method to assess data into distinct human emotion types
C. A method to measure the strength of an emotion by assessing data as positive, negative, or neutral
D. A method to identify data as angry, cheerful, or scared

Answer

C. A method to measure the strength of an emotion by assessing data as positive, negative, or neutral

Explanation

Sentiment analysis is a measure of the strength of an emotion. It’s a means of assessing if data is positive, negative, or neutral.

Sentiment analysis is a method used in artificial intelligence and natural language processing to determine the overall emotion, opinion, or attitude expressed in a piece of text data. It works by analyzing the language used to assess whether the sentiment is positive, negative, or neutral.

The key aspects of sentiment analysis are:

  1. It is used to gauge the overall emotion conveyed by the text, not to classify it into specific emotion categories like anger, joy, or fear. The goal is to extract the general sentiment, not detect discrete emotions.
  2. It measures the sentiment on a scale, typically categorizing it as positive, negative, or neutral. This allows the strength of the sentiment to be assessed, not just the type of emotion.
  3. It is often used to analyze customer feedback, reviews, social media posts, and other text data to understand people’s opinions. Common applications include assessing customer sentiment towards a brand/product and detecting unhappy customers from support conversations.
  4. The analysis is done by AI algorithms that are trained on large datasets to recognize positive and negative language patterns. The AI learns the sentiment signals in the words, phrases and overall linguistic patterns.

So in summary, sentiment analysis is an AI technique to computationally determine whether a piece of text is positive, negative or neutral in order to gauge the overall opinion or emotional leaning of the content.

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