scholarly journals A Survey on E-Commerce Platform for Quality Evaluation Using Product Reviews

2021 ◽  
pp. 74-77
Author(s):  
Gautami Tilve ◽  
Krutika Valanj ◽  
Aishwarya Bhor ◽  
Vaibhav Waghmare ◽  
Prof. R. S. Shishupal
Keyword(s):  
Product Quality ◽  
Sentiment Analysis ◽  
Quality Evaluation ◽  
Product Reviews ◽  
Quality Service ◽  
Delivery Time ◽  
Product Review ◽  
The Past ◽  
The Impact ◽  
Relevant Factors

It has been seen that there is wide acceleration for an E-commerce platform over the past 10 years. Moreover the E-commerce platform booms in the last year due to this COVID -19 pandemic and potentially the next couple of months. Product Review helps a lot for buying anything online regarding product quality, Service, or delivery time. Sentiment analysis helps to understand the context and the person's intent about the product like +ve, -ve, or Neutral. This paper gives the survey of techniques used by the researcher to identify the most relevant factors by taking into account the frequency of the aspect and the impact of customers at the same time. The abstract view of the proposed system that we are going to implement helps to find a positive, negative, or neutral sense of aspects of the product.

scholarly journals Data Mining and Machine Learning: Design a Generalized Real Time Sentiment Analysis System on Tweeter Data Using Natural Language Processing

2019 ◽  
Vol 8 (6) ◽  
pp. 2139-2142
Keyword(s):  
Sentiment Analysis ◽  
Real Time ◽  
Language Processing ◽  
Automated System ◽  
Product Reviews ◽  
Analysis System ◽  
Result Analysis ◽  
Python Programming ◽  
The Impact ◽  
Analyze Data

Sentiment analysis is a task, that is becoming recently important for numerous companies. Because the consigner subscriptions on social media like Facebook, twitter and other side get their product reviews. If the company wants to track tweets about their brand to command over the impact on time or many website analyze the comments on their articles. This will help them to track comments and impact. So the sentiment analysis is an automated system that collects and analyzes the content and generates the desired results. This paper proposes a sentiment analysis system for twitter posts. Proposed system will work on real time tweets. System is also designed in such a way that this can analyze data related to any topic. Python programming language is used to extract tweets form twitter feeds. Proposed system also calculates the level of sentiments. That how much negative or positive tweets are. This paper also presents some real time result analysis.

Quality Evaluation Model for Highway General Mechanical and Electrical Product

2013 ◽  
Vol 706-708 ◽  
pp. 2095-2098
Author(s):  
Cheng Zan Chu ◽  
Li Wei Zhu ◽  
Ran Na
Keyword(s):  
Product Quality ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Rapid Development ◽  
Mechanical Equipment ◽  
The Past ◽  
Generic Quality ◽  
Quality Evaluation Model

Highway general mechanical and electrical product quality is one of the important factors for guaranteeing highway efficient and safe operation. Over the past decade, with the rapid development of highway construction and mechanical equipment manufacturing technology, more and more mechanical and electrical products applied in highway. For the objective and scientific evaluation of quality of mechanical and electrical products, highway mechanical and electrical product quality index system and quality evaluation model were researched based on product generic quality evaluation method, and then verified by actual product case.

Effect of country image and materialism on the quality evaluation of Korean products

2019 ◽  
Vol 32 (2) ◽  
pp. 386-405 ◽  
Author(s):  
Byoungho Ellie Jin ◽  
Naeun Lauren Kim ◽  
Heesoon Yang ◽  
Minji Jung
Keyword(s):  
Product Quality ◽  
Online Survey ◽  
Quality Evaluation ◽  
Developed Countries ◽  
Country Image ◽  
Content Type ◽  
The Usa ◽  
Managerial Implications ◽  
The Impact

Purpose It is critical to understand how global consumers evaluate the quality of Asian products while marketing Asian products in the global marketplaces. The purpose of this paper is to examine the impact of Korea’s macro and micro country image and global consumers’ materialism level on the quality evaluation of Korean cosmetics among consumers in four countries. Design/methodology/approach Data from 900 participants were collected from consumers aged 20 or older living in economically developed countries (the USA and France) and economically developing countries (China and Vietnam) via professional online survey firms. Multiple regression analyses were used to analyze the data. Findings Along with the direct effect of macro and micro country image and materialism on product quality evaluation, a moderating effect of materialism and the respective country was discovered. Subsequently, the effect of macro country image on quality evaluation was found to be only significant in the USA and France and not in China and Vietnam. In contrast, the impact of micro country image was robust across all four countries. Furthermore, the effect of materialism on product quality was significant only in Vietnam. This implies that materialistic consumers in emerging markets might have favorable perceptions regarding the quality of Korean cosmetics. Originality/value This study advances country image research by providing new theoretical and managerial implications for countries whose image is less distinctive with respect to the effective marketing of products by the destination countries’ development status and consumers’ familiarity.

scholarly journals PENGARUH PRODUCT QUALITY, SERVICE QUALITY, IMAGE TERHADAP LOYALTY MELALUI SATISFACTION PADA RESTORAN SUNDA DI JAKARTA

2014 ◽  
Vol 7 (1) ◽  
pp. 177
Author(s):  
Dessy Pirbadi
Keyword(s):  
Service Quality ◽  
Product Quality ◽  
Key Words ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Equation Model ◽  
Quality Service ◽  
Quality Image ◽  
Convenience Sampling ◽  
The Impact

<p><span><em>Number of Sunda Restaurant’s consumer in the year of 2009 and 2012 are decreasing although the </em><span><em>number of restaurant is increasing. This research test the impact of Product quality, Service quality, </em><span><em>and Image through Satisfaction into consumer’s Loyalty by using Convenience Sampling with 200 </em><span><em>respondents who have visited and eat in Sunda Restaurant in Jakarta at least twice in the last six</em><br /><span><em>months. Tool used to analyze the data is Structural Equation Model (SEM) through AMOS software </em><span><em>ver. 18.00. Result shows that Product quality, Service quality, Image, and Satisfaction have positive </em><span><em>impact to Loyalty.</em></span></span></span></span></span></span></span></p><p><span><span><span><span><span><span><span><em></em><br /><strong><em>Key words: </em><em>Product quality, Service quality, Image, Satisfaction, Loyalty</em></strong></span></span></span></span></span><br /></span></span></p>

The Time of Punishment

2019 ◽  
pp. 149-182
Author(s):  
Julian V. Roberts
Keyword(s):  
Change Over Time ◽  
The Past ◽  
Subsequent Period ◽  
The World ◽  
The Absolute ◽  
The Impact ◽  
Current Standards ◽  
Over Time ◽  
Relevant Factors

Increasingly, courts around the world are being required to sentence offenders for crimes committed years or even decades earlier. Prevailing conceptions of harm and culpability change over time. Policymakers concerned with punishment and sentencing should be sensitive to changes in the absolute and relative seriousness of crimes as well as the absolute and relative severity of punishments. Ordinal rankings of offenses have evolved over the past 50 years, as has our understanding of the impact of various sanctions. Issues raised by sentencing for crimes committed much earlier illustrate the need for a time-sensitive approach. Should defendants be sentenced according to standards prevailing at the time of the offense or according to current standards? In a just system, offenders would be judged by the standards prevailing when they took the decision to offend. A time-sensitive approach would apply the sentencing standards of the earlier time yet also consider time-relevant mitigation and aggravation in the subsequent period. The offender’s conduct and the victim’s suffering during the period are both relevant factors. Passage of time often changes our evaluation of the offense and the offender. When this occurs, the nature of the sentence should change. Likewise for long-serving prisoners, whose sentences should be reviewed after years have passed, in case they are no longer deemed proportionate.

scholarly journals The Influence of Product Quality, Service Quality and Personal Selling on Customer Satisfaction and the Impact on Customer Word of Mouth in PT.XYZ Balaraja Branch

2020 ◽  
Vol 5 (8) ◽  
pp. 760-769
Author(s):  
Salomo Roy Freddy ◽  
Zulfitri . ◽  
Dudi Permana
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Product Quality ◽  
Word Of Mouth ◽  
Research Result ◽  
Personal Selling ◽  
Sampling Technique ◽  
Primary Data ◽  
Quality Service ◽  
The Impact

This research aims to find out the effect of product quality, service quality and personal selling on customer satisfaction and its impact towards word of mouth communication on PT.XYZ customers. This research is a quantitative research with the sampling technique used is non random sampling technique. The population level determined in this study consists of customers from PT.XYZ branch Balaraja who actively transact at least 3 times the period range until 2019. The research data is primary data from questionnaire given to 165 respondents and secondary data from company data. Analysis method of this research is Structural Equation Modelling with software LISREL 8.8. Research result shows that product quality, service quality, and personal selling have a positive and significant effect on customer satisfaction, and customer satisfaction have a positive and significant effect on word of mouth. Product quality, service quality, and personal selling have a positive and significant effect on word of mouth. Product quality is the strongest influence on customer satisfaction. Personal selling is the strongest influence on word of mouth

scholarly journals Sentiment Analysis of Product Reviews as A Customer Recommendation Using the Naive Bayes Classifier Algorithm

2019 ◽  
Vol 2 (2) ◽  
pp. 48-55
Author(s):  
Taqwa Hariguna ◽  
Wiga Maulana Baihaqi ◽  
Aulia Nurwanti
Keyword(s):  
Sentiment Analysis ◽  
Naive Bayes ◽  
Naïve Bayes ◽  
Product Reviews ◽  
Naive Bayes Classifier ◽  
Bayes Classifier ◽  
Naïve Bayes Classifier ◽  
Product Review ◽  
Negative Comment ◽  
Negative Comments

In an e-commerce Shopee, the process of selling and buying continues to run every day, and the comments given by consumers will increase more and more. Comments given by consumers will be the reference/review of a product that has been purchased by consumers. Consumers freely provide a review containing positive comments and negative comments in the Comments field listed on the Shopee e-commerce website. With the above problems, researchers will do a research with the method of sentiment analysis to distinguish classes in product review comments that include positive comment class or negative comment class using a combination of K-means and naive Bayes classifier. K-means used to determine the grouping of classes; naive Bayes classifier used to get the value of accuracy. The results obtained based on clustering K-means include getting 116 negative comments on product reviews and 37 negative comments product reviews. Accuracy results obtained from product review comment data of 77.12%. Thus, the accuracy value using K-means and naive Bayes classifier without manual data get a higher accuracy value is compared using K-means, Naive Bayes classifier, and manual data get results lower accuracy of 56.86%. From the results above the most comments is a negative comment of 116 data review comments product, from the results of the study can be concluded that one of the products of Spatuafa named high heels women know the Ribbon Ikat FX18 the condition of the product is not good enough due to the high negative comments compared to positive comments

scholarly journals Personal customized recommendation system reflecting purchase criteria and product reviews sentiment analysis

2021 ◽  
Vol 11 (3) ◽  
pp. 2399
Author(s):  
Wu Guanchen ◽  
Minkyu Kim ◽  
Hoekyung Jung
Keyword(s):  
Sentiment Analysis ◽  
Recommendation System ◽  
Business Environment ◽  
Product Reviews ◽  
Product Review ◽  
Recommendation Algorithm ◽  
Purchase Criteria ◽  
Sentiment Score ◽  
A Company

As the size of the e-commerce market grows, the consequences of it are appearing throughout society. The business environment of a company changes from a product center to a user center and introduces a recommendation system. However, the existing research has shown a limitation in deriving customized recommendation information to reflect the detailed information that users consider when purchasing a product. Therefore, the proposed system reflects the user's subjective purchasing criteria in the recommendation algorithm. And conduct sentiment analysis of product review data. Finally, the final sentiment score is weighted according to the purchase criteria priority, recommends the results to the user.

scholarly journals Online Consumer Inspection on using E-shopping Service of E-commerce

2019 ◽  
Vol 8 (2S11) ◽  
pp. 438-442
Keyword(s):  
Primary Source ◽  
Product Reviews ◽  
Product Review ◽  
Consumer Reviews ◽  
Goods And Services ◽  
Review Helpfulness ◽  
On Line ◽  
Online Consumer ◽  
The Impact ◽  
Source Of Information

The Internet has become the primary source of information for a large number of consumers and it enables consumers to share their opinions and experiences concerning goods and services. Online consumer reviews provide information and recommendations for prospective buyers and are useful for decision-making on purchases. The purpose of this study is to assess the impact of on-line consumer reviews on a decision of using e-commerce services. In this study, we tend to conduct a laboratory experiment to analyze product review helpfulness likewise as its corresponding antecedents from the product review feature perspective (i.e., source- and contentbased review features). Findings from the study are threefold. First, the results of the information analysis support the theoretical conceptualization of product review helpfulness as a formative construct. Second, the results support the notion that the source- and content-based review options have direct impact on product review helpfulness. Customers perceive customerwritten product reviews as additional useful than those written by experts; they also perceive a concrete review as additional helpful than an abstract review. Third, we discover an interaction effect of the source- and content-based options of product reviews on review helpfulness. A customer-written product review with a low level of content abstractness yields the highest perceived review helpfulness

scholarly journals Online Product Reviews and Their Impact on Third Party Sellers Using Natural Language Processing

2021 ◽  
Vol 12 (1) ◽  
pp. 26-47
Author(s):  
Akash Phaniteja Nellutla ◽  
Manoj Hudnurkar ◽  
Suhas Suresh Ambekar ◽  
Abhay D. Lidbe
Keyword(s):  
Sentiment Analysis ◽  
Language Processing ◽  
Topic Modeling ◽  
Online Reviews ◽  
Third Party ◽  
Bag Of Words ◽  
Product Reviews ◽  
Specific Product ◽  
Online Product Reviews ◽  
The Impact

The purpose of this paper is to gain insights from the online product reviews of e-commerce sites such as Flipkart and Amazon and analyze its impact on third party sellers. To judge the authenticity of a product, reviews are more useful than ratings, since ratings do not give a complete picture. It is always preferred to consider both the product and seller reviews to have a seamless delivery and defect less product. In this paper, natural processing methods are used to gain insights by considering online reviews of a product. Methods such as sentiment analysis, bag of words model help to understand the impact of online product reviews on the seller's ratings and their performance over some time. The reviews are categorized into positive, negative, and neutral using sentiment analysis. Further, topic modeling is done to find out the topic reviews are majorly referring to. The seller reviews for a specific product after analysis are compared with the overall seller reviews to judge the authenticity. The results of this paper would be beneficial to both the consumers and sellers.

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