Sentiment-Analysis-Analyse-Hotel-Reviews

Methods of Sentiment Analysis

• Rule-based: This method performs sentiment analysis based on a set of manually crafted rules.
• Automatic: This method relies on ML/NLP techniques to learn from data.
• Hybrid: This approach combines both rule-based and automatic approaches.

In this Blog, We'll see an example to analyze sentiments toward the Hotel Industry and understand Customer Perception and Potential areas that need improvement. To do this, we will: 

1. Generate Sentiment labels and scores using BERT models based on customer reviews.
2. Store them in a LanceDB table with metadata and their embeddings of customer reviews.
3. Query the LanceDB table on selected areas and understand customer opinions.

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