Multi Class Text Classification

Multi Class Text Classification
Timeline :
Flexible as per consultant need
Budget :
$100
Status Reporting :
Every 3 days
Objective :
Dataset consisting of raw payload textual data and other variables should be classified/mapped to one of the classes.
Approaches to be included:
• EDA
• Data Preprocessing
• NLP preprocessing of payload data column
• Feature Engineering
• Feature selection
• Machine learning implementation
• Deep Learning implementation (incl. NLP models like BERT)
• Compare the predictions with Out-of-Sample dataset
• Calc. the metrics
Note:
• Readable code
• Comments to be included