I will label and categorize your texts for sentiment analysis
About this Gig
Welcome to my professional sentiment analysis and text annotation services!
I have a stong experience in labeling, categorizing, and analyzing texts to extract emotional insights and sentiment information. Whether you're building machine learning models, analyzing customer feedback, or understanding audience sentiment, I deliver accurate, detailed annotations tailored to your needs.
My Expertise:
- Sentiment Classification (positive, negative, neutral)
- Emotion Detection (joy, frustration, anger, satisfaction, etc.)
- Nuance Analysis (mixed sentiments, sarcasm, irony)
- Multi-label Classification
- French & English Language Support
What You Get:
- Accurate & consistent annotations
- Fast turnaround times
- Detailed labeling guidelines adherence
- Unlimited revisions on Premium
- Clear documentation & organization
Ideal for: ML training datasets, brand monitoring, customer feedback analysis, social media sentiment tracking, and UX research.
Ready to transform your raw text into valuable insights? Let's get started!
Technique:
Manual
Tagging type:
Text
My Portfolio
FAQ
What formats can you work with (CSV, JSON, TXT, etc.)?
I can work with CSV, JSON, Excel, TXT, PDF, and custom formats. Send your data in any format and I'll handle it seamlessly. I'll return the annotated data in your preferred format.
Can you handle confidential or sensitive data?
Absolutely! I maintain confidentiality and respect data privacy. All information is kept secure and is never shared. Happy to sign NDA if required for enterprise projects.
What's your turnaround time?
Quick turnaround guaranteed! Basic: 2 days | Standard: 3 days | Premium: 1 day. Rush orders available on request. All dates are business days.
Do you provide detailed annotation guidelines?
Absolutely! I work closely with you to understand your specific needs. Custom labeling schemas, guidelines documentation, and format specifications are all part of the process. Clear communication ensures perfect results.

