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Social Listening using APPRAISAL framework

Teaser

Create a attitude frequency table using Systemic Functional Linguistics APPRAISAL framework simply by pasting your comments.

Prompt Hint

[insert comments up to 1000 characters]

Prompt

Create a attitude frequency table using Systemic Functional Linguistics APPRAISAL framework simply by pasting your comments.

Summary

Enhance your social listening skills effortlessly with the APPRAISAL framework. Generate detailed attitude frequency tables using Systemic Functional Linguistics. Simply paste your comments to unlock valuable insights. Dive deep into sentiment analysis and refine your understanding of audience perceptions. Elevate your strategy by grasping the nuances of language through this innovative approach. Streamline your data analysis process and gain a competitive edge in interpreting user attitudes. Try this powerful tool on ChatGPT now for a game-changing social listening experience.

  • Generate an attitude frequency table based on comments using the APPRAISAL framework.
  • Analyze language through Systemic Functional Linguistics to assess attitudes in comments.
  • Understand sentiments expressed in comments by applying the APPRAISAL framework systematically.
  • Extract values like Appreciation, Attitude, Graduation, and Engagement through linguistic analysis.
  • Gain insights into how comments express evaluations, emotions, judgments, and involvement effectively.
  • Identify the tonal aspects of comments such as positivity, negativity, or neutrality accurately.
  • Utilize linguistic tools to categorize comments based on their evaluative language elements.
  • Create a comprehensive breakdown of attitudes conveyed in comments using the APPRAISAL framework.

Description:>

Description: #

The ChatGPT prompt enables you to effortlessly generate an attitude frequency table utilizing the Systemic Functional Linguistics APPRAISAL framework. By simply pasting your comments, this prompt analyzes the language based on the APPRAISAL framework, categorizing attitudes expressed in the text. This process helps you understand the sentiment, tone, and emotional stance conveyed in your comments, providing valuable insights into the underlying attitudes present.

Features:>

Features: #

  • Automatically analyze comments using the Systemic Functional Linguistics APPRAISAL framework
  • Create an attitude frequency table based on the attitudes expressed in the text
  • Gain insights into sentiment, tone, and emotional stance conveyed in the comments
  • Simple and efficient process by just pasting your comments
Benefits:>

Benefits: #

  • Quickly understand the underlying attitudes in your comments
  • Identify patterns in sentiment and tone for better comprehension
  • Streamline the analysis of language for sentiment analysis and emotional evaluation
  • Enhance your ability to gauge attitudes expressed in text for improved communication and decision-making
Prompt Statistics
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Please note: The preceding description has not been reviewed for accuracy. For the best understanding of what will be generated, we recommend installing AIPRM for free and trying out the prompt.

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