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anushkasaxena07
Is there an existing issue for this?
Feature Description
Description: The new feature aims to enhance the existing stress detection model by integrating sentiment analysis, improving text preprocessing, and visualizing the relationship between text sentiment and stress levels. This feature will provide more detailed insights into the emotional content of the text, helping to better understand the correlation between sentiment and stress.
Use Case
Use Case: Improved Text Preprocessing:
Feature: Advanced text preprocessing including removal of punctuation, stopwords, and normalization. Use Case: Ensures cleaner data for model training, leading to more accurate predictions and analysis. Sentiment Analysis Integration:
Feature: Analyze the sentiment of each text entry (positive, negative, neutral). Use Case: Understand the emotional tone of the posts and its correlation with the stress labels. For example, posts with negative sentiment might have a higher likelihood of being classified as 'Stress'. Visualizations:
Feature: Create visualizations to show the distribution of sentiments across different subreddits and their correlation with stress labels. Use Case: Helps in identifying patterns and trends, such as which subreddits have more negative sentiment and higher stress levels. Temporal Analysis:
Feature: Analyze the sentiment and stress levels over time (year, month, day). Use Case: Identify trends over time, such as increasing stress levels during certain periods, which could be crucial for mental health professionals and community moderators.
Benefits
No response
Add ScreenShots
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Priority
High
Record