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GitHub / YashSDholam / Tripadvisor-Hotel-Review-Sentiment-Analysis-using-LSTM-Neural-Network

In this project, I utilized the TripAdvisor Hotel Review dataset from Kaggle to perform sentiment analysis on hotel reviews. The main objective was to build a predictive model using LSTM (Long Short-Term Memory) neural networks to classify hotel reviews as positive or negative based on their textual content.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/YashSDholam%2FTripadvisor-Hotel-Review-Sentiment-Analysis-using-LSTM-Neural-Network

Stars: 0
Forks: 0
Open Issues: 0

License: None
Language: Jupyter Notebook
Repo Size: 6.48 MB
Dependencies: pending

Created: 11 months ago
Updated: 11 months ago
Last pushed: 11 months ago
Last synced: 5 months ago

Topics: data-visualization, lstm-neural-networks, nltk, prediction, sentiment-analysis, text-cleaning, text-preprocessing

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