You will get YouTube & Social Media Sentiment Analysis Model
Project details
You will get a fully functional sentiment analysis model for YouTube or social media comments that classifies text as positive, negative, or neutral. I help you understand audience feedback with clear insights and visualizations. As a fresher AI engineer, I focus on delivering high-quality, reproducible models with easy-to-understand reports. The project is designed to give actionable insights for improving engagement, content strategy, and customer satisfaction. All work is original and tailored to your dataset.
What's included
| Service Tiers |
Starter
$30
|
Standard
$60
|
Advanced
$120
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 1 | 2 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 1 | 2 | 4 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code |
Frequently asked questions
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MM
Miranda M.
Jun 6, 2026
Local LLM Setup - Standard Tier
About Abubakar
AI Engineer | Generative AI | RAG | API Development | Django FullStack
Lahore, Pakistan - 5:06 am local time
Services I provide:
• AI chatbots & assistants (RAG-based, LLM-powered)
• Generative AI applications (LangChain, Ollama, CrewAI, Agno)
• Machine learning models (classification, regression, recommendations)
• NLP solutions (sentiment analysis, text classification, document Q&A)
• Backend development (Django, REST APIs)
• Model & AI service deployment (FastAPI + Docker + AWS)
Steps for completing your project
After purchasing the project, send requirements so Abubakar can start the project.
Delivery time starts when Abubakar receives requirements from you.
Abubakar works on your project following the steps below.
Revisions may occur after the delivery date.
Client Sends Requirements
The client provides the dataset, platform details, and any preferences for analysis or visualizations.
Data Preparation
Clean and preprocess the comments, remove duplicates, and handle missing values to ensure accurate sentiment analysis.