8 results about "Customer reviews" patented technology

The present invention provides a device, method, and storage medium capable of overlaying relevant product information in augmented reality via the use of near-field communication (NFC) and a product selection system. [Solution] The method includes: step 802 obtaining a personal profile associated with a user based on user authentication via a contactless card; step 804 receiving product information related to multiple products via RFID or NFC signals; step 806 determining whether there are in-store customer comments or reviews corresponding to the multiple products; step 808 filtering out comments or reviews unrelated to the user's personal profile; and step 810 displaying the comments or reviews in augmented reality (AR) such that information bubbles are placed nearby, associated with each of the multiple products.

The system according to this embodiment aims to suggest alternative recipes that accommodate allergies and religious restrictions, and to accept customer reviews. [Solution] The system according to the embodiment comprises a reception unit, a suggestion unit, and a review unit. The reception unit receives input of the dish name and allergy ingredients. The suggestion unit proposes an alternative recipe based on the information received by the reception unit. The review unit receives customer reviews based on the alternative recipe proposed by the suggestion unit.

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.

The invention belongs to the technical field of comment text analysis, and particularly relates to a customer comment analysis method and system supporting word frequency statistics. According to the method, each comment is associated with the shop exploration task and the check item identifier, so that the comment data directly corresponds to the business index, an enterprise can conveniently and quickly track a problem source, the management efficiency is improved, and semantic-related comment contents are grouped by utilizing word segmentation processing, lexical element feature vectors and semantic clustering; refined semantic analysis of the comment text is realized, semantic confusion possibly brought by simple word frequency statistics is effectively avoided, a low-score check item problem is highlighted in word frequency statistics through performance weighted word frequency calculation, an enterprise can preferentially pay attention to a key business problem, business guidance of an analysis result is enhanced, and the business efficiency is improved. And a user portrait attribute distribution variance self-adaptive down-regulation mechanism is adopted, so that abnormal word frequency caused by deviation of a specific store or a user group is effectively inhibited, and an analysis result is more stable and reliable.

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 invoice payment, 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.

A computer-implemented method of generating an AI-based suggested online customer review that includes electronically communicating a sentiment request from the server to a first of the plurality of the electronic devices over a network and in a connectivity session and causing an interface to load thereon displaying an interactive display configured to receive a digital sentiment input therefrom, inserting the digital sentiment input into the interactive display and communicating the digital sentiment input to the server, processing the digital sentiment input and electronically communicating, subject to ascertaining a programmed sentiment threshold, a programmed digital chatbot to the first of the plurality of the electronic devices in the connectivity session, querying the user with the chatbot to receive business review input through therethrough and then generating a textual suggested online customer review with artificial intelligence (AI) utilizing the business review input for integrating into a publicly available online platform.

Systems and methods for natural language processing policies are disclosed. For example, content such as a response to a user command and / or user input such as a customer review, may be analyzed to determine if the content deviates from one or more content policies and to determine a severity of the content-policy deviation(s). A system may determine a number of content-policy deviations associated with the content and whether the content includes an indicator of a person, such as a pronoun and / or a proper noun. Content that includes multiple content-policy deviations and / or that includes an indicator of a person may be determined to be more severe than other deviated content. Applications associated with deviated content may be ranked and corrective action may be taken based on the ranking.

This invention concerns an Artificial Intelligence-based business intelligence method and system for performing multi-branch sentiment analysis and automated competitive mapping based on digital customer review data. This invention consists of a customer data collection module, data preprocessing, Artificial Intelligence-based sentiment classification, business branch clustering, interactive data visualization, competitive mapping, and automated strategic insight generation. The system works by processing customer data from various digital sources to produce customer sentiment analysis, branch versus cluster analysis, heatmaps, sentiment gap analysis, and automated strategic recommendations. This invention provides advantages in conducting automatic, fast, integrated, and efficient customer analysis compared to conventional manual analysis methods, thereby supporting data-based business decision-making more effectively and accurately.