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Quick Start Tutorial: Sentiment Analysis

Last updated August 22, 2024

Welcome to Layer AI's Quick Start Tutorial on Sentiment Analysis! This guide is designed to help you quickly get up and running with analyzing sentiment from text data using our powerful AI platform. Whether you're new to sentiment analysis or looking to optimize your workflows, this tutorial will walk you through the essentials.

Step-by-Step Guide:

  1. Sign Up and Access the Dashboard
  1. Create a New Sentiment Analysis Project
  • On the Dashboard, click on Create New Project.
  • Select Sentiment Analysis as the project type.
  • Name your project and click Start Project.
  1. Upload Your Text Data
  • In the project interface, click on Upload Data.
  • Upload your text data files (e.g., CSV, TXT) containing the content you wish to analyze.
  • Ensure that the text data is properly formatted with clear identifiers.
  1. Configure Sentiment Analysis Settings
  • Choose the desired Language for analysis.
  • Adjust Sentiment Thresholds to customize how positive, neutral, or negative sentiments are identified.
  • Review and confirm your settings.
  1. Run the Sentiment Analysis
  • Click Run Analysis to initiate the sentiment analysis.
  • Monitor the progress in real-time through the Analysis Dashboard.
  • Once complete, you'll see a summary of sentiment scores and key insights.
  1. Review and Export Results
  • Explore the Detailed Sentiment Report that breaks down the sentiment across different categories and metrics.
  • Use the Visualization Tools to create charts and graphs that showcase your results.
  • Export the analysis results in your preferred format (e.g., PDF, Excel) for further review or sharing.
  1. Refine and Iterate
  • Based on the initial results, you can adjust parameters and rerun the analysis to refine outcomes.
  • Utilize Layer AI's Advanced Features to further customize and enhance your sentiment analysis process.

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