Feature Request: Sentiment Analysis - Implement Sentiment Analysis Model

[HsiangNianian]

Sentiment analysis is used to classify the sentiment expressed in a text (positive, negative, neutral). This task is common in social media monitoring, customer feedback analysis, and market research.

Data Sources: What datasets should we use for training (e.g., Twitter, product reviews)?
Model Choice: Can we use pre-trained models like BERT for fine-tuning or require custom models?
Sentiment Granularity: Should the analysis be limited to three classes (positive, neutral, negative) or expanded with sub-categories (e.g., very positive, very negative)?

Expected Outcome

• A sentiment analysis model that can process various domains and accurately classify sentiments.
• Documentation and easy-to-use API for integration with other systems.