Improving the Quality of Dominos Products through Mining Summarization and Visualization of manual Consumers Reviews

Talking about food and taste every family circle in this stage has changed a lot. Regarding this, many trading activities are growing up such as hotels and restaurantsorganizations.          Such organizations have their own reputation to build up and their ow

Project Title

Improving the Quality of Dominos Products through Mining Summarization and Visualization of manual Consumers Reviews

Project Area of Specialization

Artificial Intelligence

Project Summary

Talking about food and taste every family circle in this stage has changed a lot. Regarding this, many trading activities are growing up such as hotels and restaurantsorganizations.          Such organizations have their own reputation to build up and their own brand towards the market and the customers. All these trading activities depend on the service quality and the customer satisfaction which are the main themes of this project. Both service quality and customer satisfaction are important from the point of view of marketing in terms of sellers and buyers. Sellers always interpret customers as the prop of the business organization. So, they try to give quality service and the customers also want quality services offered by the restaurant. Thus, it is the responsibility of the organization to offer a good service and make the customer satisfied by providing their desires and wants. The expectations of the customers are to get the best from the business organization. So, business organizations have to make the customers happy and treat them well equivalent to their paid amounts.

Sentiment analysis being superset, also called opinion mining, which is the subset, interchangeably used in academia, however, their concepts are not equivalent [1]. Emotion mining or analysis is a more recent and emerging field in opinion mining, which tries to push sentiment analysis boundaries a little bit further in hope to gain better understanding of people's textual opinion; There are some related terms having a little changed targets, e.g., analyzing “subjectivity”, “opinion”, “emotion”, “effect”, “sentiment”, etc., creating large problem space in the concept of sentiment [1]. However, all these terms are address by opinion or sentiment mining. Recently, emotions and their history have become a focus point for research in different field’sFacebook posts, online news text, Online Reviews, blogs, twitter, etc.

The problem is that the management cannot check the reviews on run time because the process of customer opinion are still manual and unreported. Most of the opinions are not reached to administration due to lake of automated system. However, the administration cannot take action for the customer’s needs timely. Moreover, for the new customer, it’s difficult to select which product is suitable for him. Having issues in manual feedback much things are not delivered to Administration what customer actually want. Moreover, management are taking feedback from customer’s using callbacks which is costly, and not consistently storedin any repository.

Project Objectives

To automate the feedback system of Dominos.

To develop traditional review ranking methods.

To identify ways to incorporate consumers opinions to enhance feature ranking.

To visualized the feature.

Project Implementation Method

ropose solution is comprises of an opinions mining system. First we will collect the consumers reviews from different outlets they are manual. Subsequently, preprocess the uninformative data from reviews, and we will process data in a suitable format to be analyzed. After annotating and we will filter positive and negative and put into the application for first time and will provide the visualize graph. Furthermore, after implementation of application it will take the reviews from consumers and filtrate it for every feature of product, environment and services and show the multidimensional visualize graph at runtime which is more appropriate than the existing system.

Benefits of the Project

We are proposing the idea which have much worth in market because the manual system in every organization is slow and also taking time for implementation. However our project is not only for Dominos it can also be used for different organizations because this solution is not working till now. Moreover, this application run as live telecast at every outlet of dominos which is more approach able for every client and also for administration members. Furthermore, opinion expressed by the consumers’ are overlooked in the ranking of products’ features. Without incorporating consumers’ emotion in feature ranking are unable to provide the diverse information for the decision making process to other consumers. And also for administration. A comprehensive opinion summary based on the feature along with satisfactory visualization is needed for the decision making process in place of a bi-polar opinion summary of products’ aspects.

Technical Details of Final Deliverable

Stanford CoreNLP

Stanford Parser

Stanford NER

Stanford POS Tagger

NLTK

Final Deliverable of the Project

HW/SW integrated system

Type of Industry

IT

Technologies

Artificial Intelligence(AI)

Sustainable Development Goals

Quality Education

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com