Advanced Sentiment Analysis for Restaurant Reviews

Requirements Clarification & Assessment

1. Objective Definition:

   • The main objective is to develop a sentiment analysis system capable of extracting distinct features from restaurant reviews and determining the sentiment associated with each feature.

2. Data Availability:

   • Clarify if historical data with labeled features and sentiments is available for training.
   • Determine if there are existing models or frameworks currently in use.

3. Feature and Sentiment Identification:

   • Identify the list of features and sentiments that the business is interested in.
   • Confirm if these lists are predefined or need to be derived from the data.

4. Output Requirements:

   • Specify the format of the desired output (e.g., JSON, CSV).
   • Determine if the model should support a fixed number of features and sentiments or be flexible.

5. Performance Metrics:

   • Define the success metrics for the model (e.g., accuracy, precision, recall, F1-score).

6. Scalability and Usage:

   • Estimate the number of concurrent users and the system’s scalability requirements.

7. Language and Data Quality:

   • Assess the language diversity in the reviews and the potential need for translation.
   • Consider the presence of grammatical errors and informal language.