sentiment-analysis-hotel-reviews

Build a model to analyze customer sentiment from hotel reviews (positive, neutral, or negative).

Dataset

URL: TripAdvisor Hotel Reviews on Kaggle The folder contains:

• offering.txt
• offerings.csv
• review.txt
• reviews.csv

(Note: In this repository, ignore review.txt and reviews.csv due to Git LFS limitations. xD)

In my main.py, only offerings.csv and reviews.csv are used.

df_offerings: [4333]row x [8]col

df_reviews: [810967]row x [11]col

Data splitting:

by test_size = 0.2

Machine Learning Model:

1. Logistic Regression Result:

Labels: [positive, neutral, negative]
Configuration:

Accuracy: 0.87

2. Random Forest Classifier Result:

Configuration:

Accuracy: 0.78