Asbect-based Sentiment Analysis on Arabic Dataset using araBERT
Budget: $30 – $250 USD
I'm seeking assistance with a aspect-based sentiment analysis project. I have an Arabic dataset with less than 10,000 entries in an Excel format. The goal is to train this dataset on the araBERT model for ABSA aspect-based sentiment analysis.
Key Requirements:
- Implementing Machine Learning: You should have a strong background in ML and experience with training models, particularly in the context of aspect-based sentiment analysis.
- Expertise in NLP: Familiarity with Natural Language Processing techniques and Arabic language processing would be a significant asset.
- Data Handling: Proficiency in handling Excel datasets, processing text data and preparing it for ML model training.
The dataset is ready, Your role will include:
- Model training: Implementing the araBERT model for sentiment analysis on the given dataset.
- Evaluation: Ensuring the model's accuracy and fine-tuning it for optimal results.
- Providing documentation: Delivering a comprehensive report of the model's performance and any recommendations for further improvements.
I'm looking for someone who can deliver quality results within a reasonable timeframe. Please provide examples of your previous projects in the field of ML and NLP, particularly those that involve Arabic language datasets.
Key Requirements:
- Implementing Machine Learning: You should have a strong background in ML and experience with training models, particularly in the context of aspect-based sentiment analysis.
- Expertise in NLP: Familiarity with Natural Language Processing techniques and Arabic language processing would be a significant asset.
- Data Handling: Proficiency in handling Excel datasets, processing text data and preparing it for ML model training.
The dataset is ready, Your role will include:
- Model training: Implementing the araBERT model for sentiment analysis on the given dataset.
- Evaluation: Ensuring the model's accuracy and fine-tuning it for optimal results.
- Providing documentation: Delivering a comprehensive report of the model's performance and any recommendations for further improvements.
I'm looking for someone who can deliver quality results within a reasonable timeframe. Please provide examples of your previous projects in the field of ML and NLP, particularly those that involve Arabic language datasets.