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Home
Python 3
Testing Multiple Reviews

Testing Multiple Reviews

Testing Multiple Reviews
Create Sample Reviews
Preprocess the Reviews
Convert to TF-IDF
Predict the Labels
Display the Predictions

Testing Multiple Reviews

Instead of testing one review at a time, we can classify multiple reviews simultaneously. This demonstrates how the trained model can be applied to a batch of new customer reviews.

Create Sample Reviews

reviews = [
"Excellent quality product. Highly recommended!",
"Worst purchase ever. Don't buy this.",
"Best product in the world. Buy ten immediately!",
"The delivery was quick and the packaging was neat.",
"Absolutely fantastic. Five stars for everything!"
]

Preprocess the Reviews

processed_reviews = []
for review in reviews:
review = clean_text(review)
review = remove_stopwords(review)
review = lemmatize_text(review)
processed_reviews.append(review)

Convert to TF-IDF

review_vectors = tfidf.transform(processed_reviews)

Predict the Labels

predictions = model.predict(review_vectors)

Display the Predictions

results = pd.DataFrame({

"Review": reviews,

"Prediction": predictions

})

results["Prediction"] = results["Prediction"].replace({

0: "Genuine",

1: "Fake"

})

results

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Testing Multiple Reviews

Contents

Testing Multiple Reviews

Create Sample Reviews

Preprocess the Reviews

Convert to TF-IDF

Predict the Labels

Display the Predictions

Fake Review Detection System using Machine Learning

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Computer Architecture

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Docker Tutorial

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GIT Guide

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Spring Boot Tutorial

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Apache Cordova Tutorial

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Python Built-in Functions Tutorial

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