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Sanjeev2501/
nyxar-logistic-sentiment

Name: nyxar-logistic-sentiment
Availability: InStock

SetFit/amazon_reviews_multi_en

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NYXAR Logistic Sentiment Model

Model Description

A sentiment classification model developed for the NYXAR AI Intelligence & Observability Platform.

The model predicts sentiment across three classes:

Positive
Neutral
Negative

Framework:

Scikit-Learn
TF-IDF Vectorization
Logistic Regression

Language:

English

License:

Training Data

Dataset:

SetFit/amazon_reviews_multi_en

The dataset contains English Amazon product reviews used for sentiment classification.

Intended Use

This model is designed for:

Customer feedback analysis
Product review monitoring
Support ticket intelligence
Sentiment trend analysis

Limitations

The model may struggle with:

Sarcasm
Irony
Domain-specific terminology
Very long texts

Predictions should be used as supporting signals rather than business-critical decisions.

Performance

Metrics obtained during evaluation:

Accuracy: 69.28%
Precision: 65.75%
Recall: 69.28%
F1 Score: 65.89%

Usage

python

import joblib

model = joblib.load("logistic_model_v1.pkl")
vectorizer = joblib.load("tfidf_vectorizer_v1.pkl")

text = ["The product exceeded expectations."]
X = vectorizer.transform(text)

prediction = model.predict(X)

Sanjeev2501/nyxar-logistic-sentiment