SAS Enterprise Miner | SAS Text Miner -- 3
Budget: $10 – $30 AUD
Use the provided dataset to build a supervised sentiment classification model using SAS TEXT MINER and report the following model measures:-
1. Accuracy
2. Precision
3. Recall
4. F1 Score
The process flow diagram must be neat and provided in the report. Provide relevant and necessary explanations with suitable output (screenshots) to support the answers given.
Deliverables:-
1. Process Flow Diagram (.xml)
2. Output stating the above FOUR(4) performance measures.
3. A 700-1000 word report explaining the work done in this project.
Work done must be neat, easily interpreted by users & readers & grammar and english must be proficient.
*BUDGET NO MORE THAN 30 AUD. PLEASE DO NOT SEND A QUOTE IF YOU REQUIRE MORE THAN 30 AUD. THANK YOU*
1. Accuracy
2. Precision
3. Recall
4. F1 Score
The process flow diagram must be neat and provided in the report. Provide relevant and necessary explanations with suitable output (screenshots) to support the answers given.
Deliverables:-
1. Process Flow Diagram (.xml)
2. Output stating the above FOUR(4) performance measures.
3. A 700-1000 word report explaining the work done in this project.
Work done must be neat, easily interpreted by users & readers & grammar and english must be proficient.
*BUDGET NO MORE THAN 30 AUD. PLEASE DO NOT SEND A QUOTE IF YOU REQUIRE MORE THAN 30 AUD. THANK YOU*