Novel NLP Model for Sentiment Classification
Budget: ₹1,500 – ₹12,500 INR
As part of my btech project, I'm seeking a talented Natural Language Processing (NLP) expert, ideally with strong background in XLNet or similar models, to help me develop a performance-enhanced version of XLNet. Our goal is to employ this model for text classification, specifically focusing on sentiment analysis.
Key Job Requirements:
- Expertise in NLP and familiarity with XLNet
- Strong understanding of text classification techniques
- Competency in sentiment analysis
The final model must exhibit:
- Enhanced performance attributes similar to XLNet
- Improved accuracy over its predecessors
- Better compatibility with existing systems
This innovative model will serve the core purpose of effective sentiment analysis through text classification based on user sentiment. Please ensure your proposal covers your experiences in these areas and includes any relevant portfolio examples.
Key Job Requirements:
- Expertise in NLP and familiarity with XLNet
- Strong understanding of text classification techniques
- Competency in sentiment analysis
The final model must exhibit:
- Enhanced performance attributes similar to XLNet
- Improved accuracy over its predecessors
- Better compatibility with existing systems
This innovative model will serve the core purpose of effective sentiment analysis through text classification based on user sentiment. Please ensure your proposal covers your experiences in these areas and includes any relevant portfolio examples.