System and techniques may be used for sentiment analysis of restaurant reviews. An example technique may include collecting data from a plurality of sources, the collected data including customer reviews corresponding to a restaurant, and categorizing each of the customer reviews in the collected data as positive, neutral, or negative related to an aspect of the restaurant. The example technique may include outputting an alert to a device of a stakeholder of the restaurant in response to determining that a customer review of the customer reviews has been categorized as negative.
Provided are a system, method, and device for automated customer review moderation. The system includes a review submission module configured to generate or receive review requests from customers after each completed order or invoicepayment, an artificial intelligence (AI) based analysis module configured to process content of review submissions received in response to the review requests and identify keywords, phrases, or patterns related to predefined moderation categories, a moderation rules engine including a set of predefined rules for evaluating the content based on the predefined rules and the predefined moderation categories, and an approval / decline module configured to determine that a review is to be approved or declined based on the predefined rules and the predefined moderation categories.