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Home
Python 3
Correlation Analysis (Numerical Features)

Correlation Analysis (Numerical Features)

Correlation Analysis (Numerical Features)
Code
Heatmap Visualization
Explanation

Correlation Analysis (Numerical Features)

Although most of our data is textual, we have created one numerical feature: the review length. We can examine whether there is any relationship between review length and the review label.

Code

correlation = df[['review_length', 'label']].corr()
correlation

Heatmap Visualization

plt.figure(figsize=(5,4))
sns.heatmap(
correlation,
annot=True,
cmap='Blues'
)
plt.title("Correlation Heatmap")
plt.show()

Explanation

The heatmap shows the correlation between numerical features.

A value close to 1 indicates a strong positive relationship, while a value close to 0 indicates little or no relationship.

Since this project mainly uses textual features, the correlation values may not be very strong.

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Correlation Analysis (Numerical Features)

Contents

Correlation Analysis (Numerical Features)

Code

Heatmap Visualization

Explanation

Fake Review Detection System using Machine Learning

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