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1. I am writing a fundamental grant proposal. My domain is sentiment text prediction. This is 1 reference paper, i want to improve further the method, title: Leveraging Multilingual Transformer for Multiclass Sentiment Analysis in Code-Mixed Data of Low-Resource Languages. The diagram shows the proposed method. Can u summarize the process of the methodology. Put in a table.

2. Suit the workflow with my dataset. To be run with malay and manglish dataset. Dataset will be extracted from huggingface.

3. From Step 2: Implementation Workflow, can u identify potential problem and potential improvement, make it in a table.

4. I prefer to improve NLP Tokenizer (BERT Tokenizer). can u detail the problems and steps to solve in a table.

5. So now, my future research going to focus on this problem and solution. can u write the problem background based on these key points. in a table short and precise,

6. From the above problem background, write me the aligned research questions and research objectives.

7. can u suggest some title to reflect this method, to submit for fundamental grant proposal.

8. I choose this title, Dynamic Tokenization and Sentiment-Aware Attention in Code-Mixed Manglish. help me to write the executive summary follow this rubric. write in a paragraph, in 300 words.

9.Rewrite the explanation of each process in the workflow, in a table, and align with this new milestones.

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Step 3 - Identify 

Potential Issues & Improvement

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Step 3 - Identify 

Potential Issues & Improvement

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Choose your preference issues

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Choose your preference issues