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Performance Analysis of Neuro Linguistic Classification

 

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Performance Analysis of Neuro Linguistic Sentence Polarity Classification Analyzing Brain Activation Patterns

Implementation Plan:
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Step 1: Initially, we load the “data-starplus” dataset and preprocess it.

Step 2: Next, we extract the features from the different ROIs.

Step 3: Then, we train the CNN Model for the Classification process.

Step 4: Next, we implement brain activation analysis.

Step 5: Finally, we plot the graphs for the metrics such as:

5.1: Number of Epochs vs Accuracy (%)
5.2: Number of Epochs vs Precision (%)
5.3: Number of Epochs vs Recall (%)
5.4: Number of Epochs vs F1-Score (%)

Software Requirement:
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1. Development Tool: Python – 3.11.4
2. Operating System: Windows 10 (64-bit)

Note:
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1) If the above plan does not satisfy your requirement, please provide the processing details, like the above step-by-step.

2) Please note that this implementation plan does not include any further steps after it is put into implementation.

3) If the above plan satisfies your requirement please confirm with us.

4) We develop simulation based projects only, not in real time.

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