Make CNN-LSTM model

Project Description: Make CNN-LSTM Model for Text Classification
I want a mode that process dataset I will provide, the result of the model should classify the reviews for product if they are useful reviews or not useful. the useful/not useful is regardless if the review is positive or negative. the idea is just to filter useful reviews. the dataset is large and its fairly simple to make the model. However, the result should be correct and 94% accuracy or more. 2 or more K fold is needed. and Confusion matrix, F1-score, cross-validation, accuracy, recall and support should confirm that.

Dataset:
https://jmcauley.ucsd.edu/data/amazon/
- Purpose: The client requires a CNN-LSTM model for text classification.
- Data Training: The model needs to be trained on existing data.
- Report Requirement: A report based on the model is required.
- Results should be 94 or above.
- Confusion matrix, F1-score, cross-validation, accuracy, recall and support should confirm that.

Ideal Skills and Experience:
- Strong understanding of CNN-LSTM models and their application in text classification.
- Proficiency in training models on existing data.
- Ability to generate reports based on model analysis and performance.