AI-Powered Sentiment Analysis and Visualization
Budget: $30 – $250 USD
The following project needs to be completed. Please share your experience and sample screenshots of your work in your bid. Also, mention how many posts will be evaluated, etc.
Goal of the project: Use sentiment analysis to track a certain experience. Using AI to Uncover Emotional Trends
Use no-code systems. I need you to please explain step by step how Data collection was done, the tools used, and necessary screenshots.
Data Collection :
Search Twitter/Reddit/Facebook and other forums for specific words.
Search Data for PRE/POST. I will provide more details later.
Search YouTube, analyze video comments, and extract other comments from the posts.
Do Sentiment Analysis
Upload data to MonkeyLearn or a similar tool. Advanced tools are preferred, but they should not be complex. Auto-classify posts as Positive/Negative/Neutral, joy, sadness, hope, etc
The data should answer some questions like:
What % of comments express fear about xyz ?
Do stories spark more hope than frustration?
****Please let me know if you can do all or some of these in your BID. ****
Visualization
Create charts in Google Data Studio/Tableau: Examples
- Pie chart (sentiment distribution).
- Word cloud (common keywords).
Design a 1- 3 page Canva report with:
- Key findings (e.g., "80% of posts express frustration").
- Recommendations ("Increase awareness of success stories").
Dynamic Visualizations:
Create an Interactive Timeline:
Use Flourish Studio or some other tool to show how emotions trend over time (e.g., "Anger peaks in pre- comments").
Top Emotion Word Cloud:
Highlight phrases like "scared of xyz," " T saved my life."
Create Patient Journey Map (Visual Storytelling)
Create Infographic: Struggle Scorecard
Goal of the project: Use sentiment analysis to track a certain experience. Using AI to Uncover Emotional Trends
Use no-code systems. I need you to please explain step by step how Data collection was done, the tools used, and necessary screenshots.
Data Collection :
Search Twitter/Reddit/Facebook and other forums for specific words.
Search Data for PRE/POST. I will provide more details later.
Search YouTube, analyze video comments, and extract other comments from the posts.
Do Sentiment Analysis
Upload data to MonkeyLearn or a similar tool. Advanced tools are preferred, but they should not be complex. Auto-classify posts as Positive/Negative/Neutral, joy, sadness, hope, etc
The data should answer some questions like:
What % of comments express fear about xyz ?
Do stories spark more hope than frustration?
****Please let me know if you can do all or some of these in your BID. ****
Visualization
Create charts in Google Data Studio/Tableau: Examples
- Pie chart (sentiment distribution).
- Word cloud (common keywords).
Design a 1- 3 page Canva report with:
- Key findings (e.g., "80% of posts express frustration").
- Recommendations ("Increase awareness of success stories").
Dynamic Visualizations:
Create an Interactive Timeline:
Use Flourish Studio or some other tool to show how emotions trend over time (e.g., "Anger peaks in pre- comments").
Top Emotion Word Cloud:
Highlight phrases like "scared of xyz," " T saved my life."
Create Patient Journey Map (Visual Storytelling)
Create Infographic: Struggle Scorecard