Machine Learning Techniques for Sentiment Analysis of Hotel Reviews

Author:

Vaish Neha1,Goel Nidhi1,Gupta Gaurav2

Affiliation:

1. IGDTUW,ECE Department,Delhi,India

2. School of mathematical Sciences Wenzhou-Kean University,Wenzhou,China

Publisher

IEEE

Reference20 articles.

1. Multimodal Sentiment Analysis

2. Deep Learning for Aspect-Level Sentiment Classification: Survey, Vision, and Challenges

3. Sentiment Analysis and Subjectivity;liu;Handbook of Natural Language Processing,2010

4. A hybrid unsupervised method for aspect term and opinion target extraction

5. A novel feature extraction methodology for sentiment analysis of product reviews;chen;Neural Computing and Applications,2018

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1. Unlocking travel narratives: a fusion of stacking ensemble deep learning and neural topic modeling for enhanced tourism comment analysis;Social Network Analysis and Mining;2024-04-12

2. Sentiment Analysis of Online Hotel Reviews Employing Bidirectional GRU with Attention Mechanism;2024 International Conference on Emerging Systems and Intelligent Computing (ESIC);2024-02-09

3. Hotel Demand Forecasting via Booking’s Comments Using Sentiment Analysis and Topic Modeling Techniques;Advances in Science, Technology & Innovation;2024

4. Sentiment analysis from unstructured hotel reviews data in social network using deep learning techniques;International Journal of Information Technology;2023-09-03

5. Attention-Based Model for Sentiment Analysis;Proceedings on International Conference on Data Analytics and Computing;2023

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