![]() A common application is when companies use the technique to analyze posted reactions to their products or services. Sentiment analysis refers to the application of natural language processing to text samples in order to determine whether the sentiments expressed are positive or negative, and to what degree. Text Emotion AI: NLP and Sentiment Analysis Related Why GPT-3 Heralds a Democratic Revolution in Tech Their thoughts, broken down by the different types of emotion AI, have been edited and condensed. To better understand emotion AI and how it works we spoke with four experts: Seth Grimes, the founder of Alta Plana and a natural language processing consultant Ranal Gujral, CEO of Behavior Signals Skyler Place, chief behavioral science officer of Cogito and Daniel McDuff, a former principal researcher at Microsoft AI. Video and multimodal emotion AI is used to process video signals ranging from eye movement to body language. ![]() This type of emotion AI can be used to assess and track customer service calls to determine both the vocal patterns of conversations and the content. Audio and voice emotion AI analyzes human speech.For example, emotion AI can be used to analyze text in the form of online comments or news stories to determine if the content is generally positive or negative. Text emotion AI analyzes the written word.There are three main types of emotion AI: text-focused, voice-focused and video and multimodal emotion AI. Consumers have to consent to being analyzed by emotion AI, which may present some privacy concerns.Like other forms of technology, emotion AI can display biases and inaccuracies. ![]() A notorious example is a hiring system that uses job candidates’ facial expressions and voice patterns to determine an “employability score.”
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