Mining numerical measure of consumers’ product evaluation expressed in words based on latent Dirichlet allocation

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ziang Wang ◽  
Feng Yang
Keyword(s):  
Latent Dirichlet Allocation ◽  
Product Evaluation ◽  
Online Reviews ◽  
Product Evaluations ◽  
Product Attributes ◽  
Data Set ◽  
Content Type ◽  
Face To Face ◽  
Online Retailers ◽  
Dirichlet Allocation

Purpose It has always been a hot topic for online retailers to obtain consumers’ product evaluations from massive online reviews. In the process of online shopping, there is no face-to-face interaction between online retailers and customers. After collecting online reviews left by customers, online retailers are eager to acquire answers to some questions. For example, which product attributes will attract consumers? Or which step brings a better experience to consumers during the process of shopping? This paper aims to associate the latent Dirichlet allocation (LDA) model with the consumers’ attitude and provides a method to calculate the numerical measure of consumers’ product evaluation expressed in each word. Design/methodology/approach First, all possible pairs of reviews are organized as a document to build the corpus. After that, latent topics of the traditional LDA model noted as the standard LDA model, are separated into shared and differential topics. Then, the authors associate the model with consumers’ attitudes toward each review which is distinguished as positive review and non-positive review. The product evaluation reflected in consumers’ binary attitude is expanded to each word that appeared in the corpus. Finally, a variational optimization is introduced to calculate parameters mentioned in the expanded LDA model. Findings The experiment’s result illustrates that the LDA model in the research noted as an expanded LDA model, can successfully assign sufficient probability with words related to products attributes or consumers’ product evaluation. Compared with the standard LDA model, the expanded model intended to assign higher probability with words, which have a higher ranking within each topic. Besides, the expanded model also has higher precision on the prediction set, which shows that breaking down the topics into two categories fits better on the data set than the standard LDA model. The product evaluation of each word is calculated by the expanded model and depicted at the end of the experiment. Originality/value This research provides a new method to calculate consumers’ product evaluation from reviews in the level of words. Words may be used to describe product attributes or consumers’ experiences in reviews. Assigning words with numerical measures can analyze consumers’ products evaluation quantitatively. Besides, words are labeled themselves, they can also be ranked if a numerical measure is given. Online retailers can benefit from the result for label choosing, advertising or product recommendation.

Automated Keyword Filtering in LDA for Identifying Product Attributes from Online Reviews

2020 ◽  
pp. 1-10
Author(s):  
Junegak Joung ◽  
Harrison M. Kim
Keyword(s):  
Product Design ◽  
Topic Modeling ◽  
Latent Dirichlet Allocation ◽  
Online Reviews ◽  
Previous Method ◽  
Product Attributes ◽  
Customer Reviews ◽  
Online Customer Reviews ◽  
Dirichlet Allocation

Abstract Identifying product attributes from the perspective of a customer is essential to measure the satisfaction, importance, and Kano category of each product attribute for product design. This paper proposes automated keyword filtering to identify product attributes from online customer reviews based on latent Dirichlet allocation. The preprocessing for latent Dirichlet allocation is important because it affects the results of topic modeling; however, previous research performed latent Dirichlet allocation either without removing noise keywords or by manually eliminating them. The proposed method improves the preprocessing for latent Dirichlet allocation by conducting automated filtering to remove the noise keywords that are not related to the product. A case study of Android smartphones is performed to validate the proposed method. The performance of the latent Dirichlet allocation by the proposed method is compared to that of a previous method, and according to the latent Dirichlet allocation results, the former exhibits a higher performance than the latter.

Much too new to eat it? Customer value and its impact on consumer-product relationship in the context of novel food products

2017 ◽  
Vol 26 (6) ◽  
pp. 616-630 ◽  
Author(s):  
Toula Perrea ◽  
Athanasios Krystallis ◽  
Charlotte Engelgreen ◽  
Polymeros Chrysochou
Keyword(s):  
Customer Value ◽  
New Product ◽  
Consumer Attitudes ◽  
Product Evaluation ◽  
Consumer Product ◽  
Product Evaluations ◽  
Product Attributes ◽  
Content Type ◽  
Novel Food ◽  
Trade Offs

Purpose The paper aims to address the issue of how customer value is created in the context of novel food products and how customer value influences product evaluation. Design/methodology/approach The study proposes a model formed by a series of causal relations among value (i.e. functional, social, hedonic, altruistic values) and cost perceptions (i.e. price, effort, evaluation costs, performance and product safety), their trade-offs (i.e. overall customer value) and product evaluation outcomes (i.e. satisfaction, trust). Findings Despite doubts about certain search (information), credence (safety) and experience (taste) attributes, perceptions about product quality, likeability and ethical image predominantly formulate customer value, indicating novel products’ potential to be evaluated positively by consumers. Research limitations/implications The proposed model advances knowledge in the context of product innovation. Contrary to past research that focuses on consumer attitudes towards a manufacturing technology and individual technology-specific risks and benefits, the customer value approach refers to novel product-related consumer attitudes conceptualized as overall customer value; the latter results from product-related value-cost trade-offs, leading towards specific consumer–product evaluations. Practical implications The customer value approach refers to the value from the adoption of a new product that underlies a relevant set of product attributes (e.g. quality, image, sustainability, price, convenience, taste, safety, etc.) Focusing on product attributes that generate gain – loss perceptions impactful on consumer – product evaluations is highly relevant for product managers concerned with new product development. Originality/value The originality of this work lies in the successful contextualization and testing of an inclusive model that comprises both emotional and rational components, operational at the product level, to generate substantial insights on the widely unexplored interplay between consumer – perceived customer value and the generation of consumer – product evaluation outcomes.

Exploring destination image through online reviews: an augmented mining model using latent Dirichlet allocation combined with probabilistic hesitant fuzzy algorithm

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yuyan Luo ◽  
Tao Tong ◽  
Xiaoxu Zhang ◽  
Zheng Yang ◽  
Ling Li
Keyword(s):  
Machine Learning ◽  
Decision Making ◽  
Latent Dirichlet Allocation ◽  
Online Reviews ◽  
Small Sample ◽  
Destination Image ◽  
Tourism Destination ◽  
Fuzzy Algorithm ◽  
Content Type ◽  
Dirichlet Allocation

PurposeIn the era of information overload, the density of tourism information and the increasingly sophisticated information needs of consumers have created information confusion for tourists and scenic-area managers. The study aims to help scenic-area managers determine the strengths and weaknesses in the development process of scenic areas and to solve the practical problem of tourists' difficulty in quickly and accurately obtaining the destination image of a scenic area and finding a scenic area that meets their needs.Design/methodology/approachThe study uses a variety of machine learning methods, namely, the latent Dirichlet allocation (LDA) theme extraction model, term frequency-inverse document frequency (TF-IDF) weighting method and sentiment analysis. This work also incorporates probabilistic hesitant fuzzy algorithm (PHFA) in multi-attribute decision-making to form an enhanced tourism destination image mining and analysis model based on visitor expression information. The model is intended to help managers and visitors identify the strengths and weaknesses in the development of scenic areas. Jiuzhaigou is used as an example for empirical analysis.FindingsIn the study, a complete model for the mining analysis of tourism destination image was constructed, and 24,222 online reviews on Jiuzhaigou, China were analyzed in text. The results revealed a total of 10 attributes and 100 attribute elements. From the identified attributes, three negative attributes were identified, namely, crowdedness, tourism cost and accommodation environment. The study provides suggestions for tourists to select attractions and offers recommendations and improvement measures for Jiuzhaigou in terms of crowd control and post-disaster reconstruction.Originality/valuePrevious research in this area has used small sample data for qualitative analysis. Thus, the current study fills this gap in the literature by proposing a machine learning method that incorporates PHFA through the combination of the ideas of management and multi-attribute decision theory. In addition, the study considers visitors' emotions and thematic preferences from the perspective of their expressed information, based on which the tourism destination image is analyzed. Optimization strategies are provided to help managers of scenic spots in their decision-making.

Czech civil sector face-to-face with freelance activism

2016 ◽  
Vol 36 (11/12) ◽  
pp. 774-791
Author(s):  
Pavol Frič ◽  
Martin Vávra
Keyword(s):  
Large Scale ◽  
Civil Society Organizations ◽  
Political Consumerism ◽  
Data Set ◽  
Content Type ◽  
Individual Level ◽  
Face To Face ◽  
Online Activism ◽  
Civil Sector ◽  
Relationship Of

Purpose The purpose of this paper is to answer following question: what is the relationship between member activism performed through civil society organizations (CSOs) and individualized freelance activism (in form of online activism, everyday making, political consumerism or checkbook activism) independent of organizational framework? Is it a relationship of mutual competition or support? Design/methodology/approach Analysis is carried out on data from 2009 questionnaire-based survey on volunteering, representative for adult Czech population. The data set allowed the authors to relate member activism with freelance activism and in case of member activism distinguish the type of organization and the level of its professionalization. Findings Dominant pattern the authors identified in data is mutual support of both types of volunteering documented by significant overlap of these forms of public engagement. The most striking is the overlap for active members of new advocacy NGOs and the weakest for traditional clubs. Regression analysis shows that on an individual level “mixed activism” (compared with “pure freelance activism”) is linked with higher education and higher confidence in civic organizations. Originality/value The civil practice of individualized freelance activism was described and analysed by various authors as an activity of specific types of activist, but there has not yet been any research giving reflection on such a large scale of freelance activism types as in the analysis. The authors set them together in contrast to the member (collective, organized) form of civic activism and also took into account the influence of professionalization and type of CSOs.

A big data approach to examining social bots on Twitter

2019 ◽  
Vol 33 (4) ◽  
pp. 369-379 ◽  
Author(s):  
Xia Liu
Keyword(s):  
Big Data ◽  
Fixed Effects ◽  
Latent Dirichlet Allocation ◽  
User Generated Content ◽  
Fixed Effects Model ◽  
Data Set ◽  
Information Distortion ◽  
Content Type ◽  
Related Information ◽  
Brand Reputation

Purpose Social bots are prevalent on social media. Malicious bots can severely distort the true voices of customers. This paper aims to examine social bots in the context of big data of user-generated content. In particular, the author investigates the scope of information distortion for 24 brands across seven industries. Furthermore, the author studies the mechanisms that make social bots viral. Last, approaches to detecting and preventing malicious bots are recommended. Design/methodology/approach A Twitter data set of 29 million tweets was collected. Latent Dirichlet allocation and word cloud were used to visualize unstructured big data of textual content. Sentiment analysis was used to automatically classify 29 million tweets. A fixed-effects model was run on the final panel data. Findings The findings demonstrate that social bots significantly distort brand-related information across all industries and among all brands under study. Moreover, Twitter social bots are significantly more effective at spreading word of mouth. In addition, social bots use volumes and emotions as major effective mechanisms to influence and manipulate the spread of information about brands. Finally, the bot detection approaches are effective at identifying bots. Research limitations/implications As brand companies use social networks to monitor brand reputation and engage customers, it is critical for them to distinguish true consumer opinions from fake ones which are artificially created by social bots. Originality/value This is the first big data examination of social bots in the context of brand-related user-generated content.

Family business identity, consumer product evaluations and firm size

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anyuan Shen ◽  
Surinder Tikoo
Keyword(s):  
Family Business ◽  
Firm Size ◽  
Interactive Effect ◽  
Product Evaluation ◽  
Theoretical Explanation ◽  
Consumer Product ◽  
Product Evaluations ◽  
Content Type ◽  
Identity Information ◽  
Identity Disclosure

Purpose This study aims to examine the relationship between family business identity disclosure by firms and consumer product evaluations and the moderating impact, if any, of firm size on this relationship. Toward this end, the study seeks to develop a theoretical explanation for how consumers process family business identity information. Design/methodology/approach A qualitative pre-study was conducted to obtain preliminary evidence that consumers’ perceptions of family businesses originate from both family- and business-based category beliefs. A product evaluation experiment, involving young adult subjects, was used to test the research hypotheses, and the experiment data were analyzed using MANOVA. Findings The key finding was that the effect of family business identity disclosure on consumer product evaluations is moderated by firm size. Practical implications This research has implications for businesses seeking to promote their family business identity in branding communications. Originality/value This research provides a theoretical account of why consumers might hold different perceptions of family business brands. The interactive effect of firm size and family business identity information disclosure on consumer product evaluations contributes new insight to family business branding.

scholarly journals Disruptive product development for online fast fashion retailers

2020 ◽  
Vol 24 (3) ◽  
pp. 517-532
Author(s):  
Rachel Parker-Strak ◽  
Liz Barnes ◽  
Rachel Studd ◽  
Stephen Doyle
Keyword(s):  
Product Development ◽  
Process Model ◽  
Development Process ◽  
Product Development Process ◽  
Fast Fashion ◽  
Content Type ◽  
Face To Face ◽  
Online Retailers ◽  
Development Processes ◽  
The Uk

PurposeThis research critically investigates product development in the context of fast fashion online retailers who are developing “own label” fashion clothing. With a focus upon inputs, outputs, planning and management in order to comprehensively map the interplay of people, processes and the procedures of the product development process adopted.Design/methodology/approachQualitative research method was employed. Face-to-face semi structured in depth interviews were conducted with key informants from market leading fast fashion online retailers in the UK.FindingsThe major findings of this research demonstrate the disruptions in the product development process in contemporary and challenging fashion retailing and a new “circular process” model more appropriate and specific to online fast fashion businesses is presented.Research limitations/implicationsThe research has implications for the emerging body of theory relating to fashion product development. The research is limited to UK online fashion retailers, although their operations are global.Practical implicationsThe findings from this study may be useful for apparel product development for retailers considering an online and fast fashion business model.Originality/valueThe emergent process model in this study may be used as a baseline for further studies to compare product development processes.

Audit roles and the review process: workpaper preparers’ and reviewers’ differing perspectives

2019 ◽  
Vol 34 (4) ◽  
pp. 438-461 ◽  
Author(s):  
Brandon Ater ◽  
Christine Gimbar ◽  
J. Gregory Jenkins ◽  
Gabriel Saucedo ◽  
Nicole S. Wright
Keyword(s):  
Review Process ◽  
Future Research ◽  
Senior Managers ◽  
Data Set ◽  
Accounting Firms ◽  
Content Type ◽  
Face To Face ◽  
Process Characteristics ◽  
Workpaper Review ◽  
The Face

Purpose This paper aims to examine the perceptions of auditor roles on the workpaper review process in current audit practice. Specifically, the paper investigates how an auditor’s defined role leads to perceived differences in what initiates the workpaper review process, the preferred methods for performing reviews and the stylization or framing of communicated review comments. Design/methodology/approach A survey was administered in which practicing auditors were asked about workpaper review process prompts, methods and preferences. The survey was completed by 215 auditors from each of the Big 4 accounting firms and one additional international firm. The final data set consists of quantitative and qualitative responses from 25 audit partners, 33 senior managers, 30 managers, 75 in-charge auditors/seniors and 52 staff auditors. Findings Findings indicate reviewers and preparers differ in their perceptions of the review process based on their defined roles. First, reviewers and preparers differ in their perspectives on which factors initiate the review process. Second, the majority of reviewers and preparers prefer face-to-face communication when discussing review notes. Reviewers, however, are more likely to believe the face-to-face method is an effective way to discuss review notes and to facilitate learning, whereas preparers prefer the method primarily because it reduces back-and-forth communication. Finally, reviewers believe they predominantly provide conclusion-based review notes, whereas preparers perceive review notes as having both conclusion- and documentation-based messages. Research limitations/implications This paper advances the academic literature by providing a unique perspective on the review process. Instead of investigating a single staff level, it examines the workpaper review process on a broader scale. By obtaining views from professionals across all levels, this work intends to inspire future research directed at reconciling differences and filling gaps in the review process literature. The finding that reviewers and preparers engage in role conformity that leads to incongruent perceptions of the review process should encourage the consideration of mechanisms, with the potential to be tested experimentally, by which to reconcile the incongruities. Practical implications Results support recent regulator concerns that there are breakdowns in the workpaper review process, and the findings provide some insight into why these breakdowns are occurring. Incongruent perceptions of review process characteristics may be the drivers of these identified regulatory concerns. Originality/value This is the first study to examine current workpaper review processes at the largest accounting firms from the perspective of both preparers and reviewers. From this unique data set, one key interpretation of the findings is that workpaper preparers do not appear to recognize a primary goal of the review process: to ensure that subordinates receive appropriate coaching, learning and development. However, workpaper reviewers do, in fact, attempt to support preparers and work to create a supportive team environment.

Visual Product Evaluation: Using the Semantic Differential to Investigate the Influence of Basic Geometry on User Perception

2014 ◽  
Author(s):  
Sofiane Achiche ◽  
Anja Maier ◽  
Krasimira Milanova ◽  
Aurelian Vadean
Keyword(s):  
User Satisfaction ◽  
Product Evaluation ◽  
Purchase Decisions ◽  
Product Evaluations ◽  
Emotional Needs ◽  
Aesthetic Value ◽  
Face To Face ◽  
Product Features ◽  
Core Set ◽  
Base Width

Products evoke emotions in people. Emotions can influence purchase decisions and product evaluations. It is widely acknowledged that better product performance and higher user satisfaction can be reached through aesthetic design. However, when designing a new product, most of the attention is generally paid to enhance its functionality and usability and much less consideration is given to the emotional needs of users. This paper investigates the connection between emotions and product features. Various forms of vases are used as a product case. Additionally, a compact list of product-specific semantic descriptors is first developed using a classification based on Jordan’s four pleasures model. Paper-based surveys, face-to-face interviews, and statistical methods were performed in this paper, where significant correlations between semantic descriptors and product geometry were found. Prototypes of two vases were developed based on elicited emotions and a short validation on aesthetic value was performed. Our results show core set of geometric features of a vase have the strongest impact on emotional responses from users: the opening of the neck, the height of the neck, the base of the neck (width), and the base (width).

Reviews’ length and sentiment as correlates of online reviews’ ratings

2018 ◽  
Vol 28 (3) ◽  
pp. 544-563 ◽  
Author(s):  
Maryam Ghasemaghaei ◽  
Seyed Pouyan Eslami ◽  
Ken Deal ◽  
Khaled Hassanein
Keyword(s):  
Sentiment Analysis ◽  
Online Reviews ◽  
Marketing Strategies ◽  
Insurance Companies ◽  
Online Review ◽  
Data Set ◽  
Content Type ◽  
Customer Reviews ◽  
Service Companies ◽  
Consumer Review

Purpose The purpose of this paper is twofold: first, to identify and validate reviews’ length and sentiment as correlates of online reviews’ ratings; and second, to understand the emotions embedded in online reviews and how they associate with specific words used in such reviews. Design/methodology/approach A panel data set of customer reviews was collected for auto, life, and home insurance from January 2012 to December 2015 using a web scraping technique. Using a sentiment analysis approach, 1,584 reviews for the auto, home, and life insurance services of 156 insurance companies were analyzed. Findings The results indicate that, since 2013, consumers have generally had more negative emotions than positive ones toward insurance services. The results also show that consumer review sentiment correlates positively and review length correlates negatively with consumer online review ratings. Furthermore, a two-way ANOVA analysis shows that, in general, short reviews with positive sentiment are associated with high review ratings. Practical implications The findings of this study provide service companies, in general, and insurance companies, in particular, with important guidelines that should be considered to increase consumers’ positive attitude toward their services. Originality/value This paper highlights the importance of sentiment analysis in identifying consumer reviews’ emotions and understanding the associations and interactions of reviews’ length and sentiment on online review rating, which can lead to improved marketing strategies.

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