opinion-mining – AI Model by JuhiSaxena2002 | AlphaNeural AI

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JuhiSaxena2002/
opinion-mining

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text-classification

sentiment-analysis

product-reviews

amazon_polarity

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🛍️ Product Review Sentiment Classifier

A fine-tuned DistilBERT model for classifying product reviews as Positive or Negative.

Fine-tuned on the Amazon Polarity dataset with 5,000 training samples.

📊 Model Performance

Metric	Score
Accuracy	92.10%
F1 Score	0.9210

🚀 Usage

python

from transformers import pipeline

classifier = pipeline("text-classification", model="JuhiSaxena2002/opinion-mining")

result = classifier("This product is absolutely amazing! Best purchase ever.")
print(result)  # [{'label': 'POSITIVE', 'score': 0.99}]

result = classifier("Terrible quality. Broke after one day. Very disappointed.")
print(result)  # [{'label': 'NEGATIVE', 'score': 0.98}]

🏗️ Model Architecture

Base Model: distilbert-base-uncased
Task: Binary Sequence Classification
Labels: POSITIVE, NEGATIVE
Max Sequence Length: 128 tokens
Training Epochs: 3

📦 Training Details

Dataset: Amazon Polarity
Train samples: 5,000
Test samples: 1,000
Learning Rate: 2e-5
Batch Size: 32
Optimizer: AdamW with warmup

🙋 Author

Built and fine-tuned by JuhiSaxena2002