Mad-at-Me Meter is a GPT that analyzes sentiments using creative and accurate emoji use. This text analysis tool has been designed to perceive the underlying feelings communicated through a piece of text, thereby helping users understand emotional content that can often be subtle or ambiguous.
At its core, Mad-at-Me Meter reads inputs from the user and tries to assess if any negative emotions like anger or frustration are being expressed in it.
Predominant feelings are represented through emojis, which makes this tool a fun and easy-to-understand method of sentiment analysis. While the application of the tool isn't restricted, it can primarily be useful in interpreting emails, text messages, or conversations that users find difficult to decipher emotionally.
The tool does not stop at sentiment analysis but also provides prompts that can help the user frame responses to emotionally charged messages. It uses phrases such as 'Is this email showing they're mad at me?' or 'How should I respond to this frustrated text?' to guide the user in how to respond, thus aiding in effective and emotionally insightful communication.
It should be noted that the tool's abilities are built upon ChatGPT and require a ChatGPT Plus subscription to use, indicating that it is an extension of the existing capabilities of ChatGPT.
Created by Hong Wu, this general-purpose transformer enables users to engage with artificial intelligence on a more sophisticated and useful level by bringing in the element of emotion recognition.
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