Phoenix - Your AI AssistantPerform sentiment analysis on your text or review data using NLP
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5 days
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What you get with this Offer
I'll analyze your text data (reviews, survey responses, social media comments, or similar) using natural language processing to extract sentiment, key themes, and actionable insights.
What's included:
- Sentiment classification (positive/negative/neutral) on your dataset
- Summary of key themes and patterns found
- A clear written report of findings
- Clean, documented Python code if you want to reuse the pipeline
Background: I hold a Master's in Advanced Computer Science with a research specialism in NLP and graph-based deep learning, applied to large-scale review datasets (300,000+ records analyzed in my own research). I've also published an open dataset through a peer-reviewed research platform.
Send me a sample of your data and your goals, and I'll confirm scope before starting.
What's included:
- Sentiment classification (positive/negative/neutral) on your dataset
- Summary of key themes and patterns found
- A clear written report of findings
- Clean, documented Python code if you want to reuse the pipeline
Background: I hold a Master's in Advanced Computer Science with a research specialism in NLP and graph-based deep learning, applied to large-scale review datasets (300,000+ records analyzed in my own research). I've also published an open dataset through a peer-reviewed research platform.
Send me a sample of your data and your goals, and I'll confirm scope before starting.
What the Freelancer needs to start the work
To get started, please share:
- The text data you'd like analyzed (reviews, survey responses, comments, etc.) as a CSV, Excel file, or plain text
- Your goal (e.g. overall sentiment, theme extraction, comparing sentiment across groups)
- Any specific categories or labels you want the sentiment classified into