scholarly journals Exploring Consumer Reviews for Men’s Fashion Accessories in Online Purchase Platforms Using Sentiment Analysis

2021 ◽  
Vol 11 (2) ◽  
pp. 676-685
Author(s):  
Dr.D. David Winster Praveenraj

The recent trend in the Indian menswear market has witnessed the infusion of western styles. Result of this is a promising market in India for men’s fashion accessories like caps, sunglasses, bracelets, rings etc. One among the accessories is earrings for man. This product category has got line extensions like studs, hoops, non-piercing magnetic type and piercing studs etc. Keeping in consideration the whooping growth of the men’s earrings market in the online purchase platforms, this study is done with an objective to explore the reviews for this product category to arrive at some insights. For this study descriptive research design has been adopted. Using the scraper tool in Python software, the data (user’s reviews for men’s earrings) was collected from the top two online vendors in India (Amazon and Flipkart). Sentiment analysis is done with R software using the text analytical package “sentiment”. Then the sentiment scores was deployed in ANOVA to test for any significant differences in star ratings and the product variant purchased by the customer taking the Comment Sentiment Scores and Title Sentiment Score. The results have shown that there is a significant difference between the star ratings and Comment Sentiment Scores, Title Sentiment Score. Bivariate correlation is applied to test the relationship between Comment Sentiment Score, Title Sentiment Score and star ratings. The result revealed that star ratings, Comment Sentiment Scores and Title Sentiment Score have a significant relationship with each other.

Hand ◽  
2021 ◽  
pp. 155894472110604
Author(s):  
Justin E. Tang ◽  
Varun Arvind ◽  
Christopher A. White ◽  
Calista Dominy ◽  
Jun S. Kim ◽  
...  

Background: Physician review websites have influence on a patient’s selection of a provider. Written reviews are subjective and difficult to quantitatively analyze. Sentiment analysis of writing can quantitatively assess surgeon reviews to provide actionable feedback for surgeons to improve practice. The objective of this study is to quantitatively analyze large subset of written reviews of hand surgeons using sentiment analysis and report unbiased trends in words used to describe the reviewed surgeons and biases associated with surgeon demographic factors. Methods: Online written and star-rating reviews of hand surgeons were obtained from healthgrades.com and webmd.com . A sentiment analysis package was used to calculate compound scores of all reviews. Mann-Whitney U tests were performed to determine the relationship between demographic variables and average sentiment score of written reviews. Positive and negative word and word-pair frequency analysis was also performed. Results: A total of 786 hand surgeons’ reviews were analyzed. Analysis showed a significant relationship between the sentiment scores and overall average star-rated reviews ( r2 = 0.604, P ≤ .01). There was no significant difference in review sentiment by provider sex; however, surgeons aged 50 years and younger had more positive reviews than older ( P < .01). The most frequently used bigrams used to describe top-rated surgeons were associated with good bedside manner and efficient pain management, whereas those with the worst reviews are often characterized as rude and unable to relieve pain. Conclusions: This study provides insight into both demographic and behavioral factors contributing to positive reviews and reinforces the importance of pain expectation management.


2019 ◽  
Vol 15 (4) ◽  
pp. 21-47 ◽  
Author(s):  
Conor Gallagher ◽  
Eoghan Furey ◽  
Kevin Curran

In a world of ever-growing customer data, businesses are required to have a clear line of sight into what their customers think about the business, its products, people and how it treats them. Insight into these critical areas for a business will aid in the development of a robust customer experience strategy and in turn drive loyalty and recommendations to others by their customers. It is key for business to access and mine their customer data to drive a modern customer experience. This article investigates the use of a text mining approach to aid sentiment analysis in the pursuit of understanding what customers are saying about products, services and interactions with a business. This is commonly known as Voice of the Customer (VOC) data and it is key to unlocking customer sentiment. The authors analyse the relationship between unstructured customer sentiment in the form of verbatim feedback and structured data in the form of user review ratings or satisfaction ratings to explore the question of whether customers say what they really think when given the opportunity to provide free text feedback as opposed to how they rate a product on a scale of one to five. Using various Sentiment Analysis approaches, the authors assign a sentiment score to a piece of verbatim feedback and then categorise it as positive, negative, or neutral. Using this normalised sentiment score, they compare it to the corresponding rating score and investigate the potential business insights. The results obtained indicate that a business cannot rely solely on a standalone single metric as a source of truth regarding customer experience. There is a significant difference between the customer ratings score and the sentiment of their corresponding review of the product. The authors propose that it is imperative that a business supplements their customer feedback scores with a robust sentiment analysis strategy.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
James Atampiiga Avoka ◽  
Elvis J. Dun-Dery ◽  
Issah Seidu ◽  
Armel N. E. Abou ◽  
Paul Twene ◽  
...  

Abstract Background Rotavirus is considered the main causal factor of severe gastroenteritis among infants and children globally. The association with severe rotavirus infection is mostly worse among the least developed countries, mainly due to inadequate access to medical care and poverty. This study was conducted to determine the seasonal effects in respect of diarrhea cases in children, the association between diarrhea cases and Rota2 vaccine in the Fanteakwa District of the Eastern Region of Ghana. Methods The study compares monthly diarrhea cases against children vaccinated with Rota2 extracted from DHIMS2 spanning May 2012 to December 2017 in Fanteakwa District. A univariate association between diarrhea cases and children vaccinated with Rota 2 was conducted using the R-software version 3.4.4 with the use of forecast, tseries and TSAPred. Pearson Correlation coefficient was also computed between monthly diarrhea cases and Rota 2 as well as lagged values of Rota 2 and Diarrhea cases. Results The study shows that February recorded the highest average number of diarrhea cases (172) over the period 2012 to 2017 with a standard deviation of 59. However, a one-way analysis of variance shows a significant difference amongst the monthly averages with an F-statistic of 0.042 and P-value of 0.064. It is observed that the correlations between each of the Rota2 doses and the lagged cases are positive, showing higher Rota2 doses a month ago ((Xt − 1),0.346 to0.735), two months ago ((Xt − 2),0.383 to 0.746), three months ago ((Xt − 3), 0.330 to 0.737) and four months ago ((Xt − 4), 0.236 to 0.723) are associated with lower diarrhea cases. The results also show that an increase in the previous two month’s Rota2 figures by 100 is associated with a significant decrease in the currently expected diarrhea cases by approximately 36. Conclusion Seasonal variations exist in the occurrence of diarrhea in children, with January recording the highest number of diarrhea cases (172). There is a relationship between episodes of diarrhea in children and Rota2 (p-value = 0.064); thus, the more children are vaccinated with Rota2, the less diarrhea cases are recorded. Diarrhea cases in Fanteakwa district are generally low, except 2013 and 2016 where the cases are higher than the rest of the other years.


Author(s):  
A. M. Gadanya ◽  
M. Auwal ◽  
S. M. Abubakar ◽  
L. Mudassir

Background: Children less than five years worldwide are known to be vulnerable and susceptible in many respects, especially on matters on health. Nutritional deficiencies and malnutrition generally affect children more than any other group. Poor nutrition occurs in developing countries, as well as in more prosperous areas of the world. Objective: The objective of this study focused on the effect of maternal Occupation and Age on feeding habit, and nutritional status of under-five children in Kibiya (rural) and Dala (Urban) local government areas of Kano State Nigeria, Study Design: A descriptive research design was adopted by this study to assess the level of nutritional status of under-five-children and to determine the relationship between age, occupation, economic status, attitudes and practices of mothers. Structured questionnaire was used to collect data on nutritional status, knowledge, attitudes and nutrition-related practices for a limited time period. Place and Duration of the Study: The study was conducted in two local government areas in Kano State, DALA and KIBIYA LGA, between February, 2019 to July, 2019. Methods: Descriptive research design was used for data collection. 198 and 170 mothers with their children from Kibiya and Dala respectively, were used for the study. Data generated was analyzed using Spss, Excel and was presented using frequency table, percentage, mean, standard deviation and correlation. Results: In Kibiya, there was a very weak, positive correlation between maternal age under-five nutritional status with the exception of weight-for-height, which was found to be statistically significant (p<0.005). In Dala, the relationship was a very weak negative correlation with the exception of height-for-age which is positive correlated (p<0.005). Majority of the children were severely stunted with 44.1% in Dala and 56.1% in Kibya, but there was no significant difference in the prevalence of severe stunting between the two LGAs. Furthermore, majority of the under-fives were within the range of adequate weight: 45.5% Dala and 58.2% Kibiya. However, the prevalence of severely underweight children in Kibiya is 11.2%. This is significantly higher compared to Dala with 2.4% which means severe underweight children in Kibiya is almost five times that in Dala. Prevalence of wasting (mild, moderate and severe) among under-five children were significantly higher in Dala compared to Kibiya (p<0.01). Conclusion: The findings from this study shows that maternal Age is a significant factor that affect the nutritional status of the children in  both local government but maternal Occupation has less impact on nutritional status of the children.


Information ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 72
Author(s):  
Syed Hassan Raza ◽  
Umer Zaman

Digital advertising has been frequently used for the promotion of e-commerce among individuals. However, little is known about the function of cultural factors that can outline the effectiveness of digital advertising practices to alter attitude and consumer behavior toward clothing brands. This research examines how norm-congruent attitudes toward digital advertising (hereafter ADA) may operate as a process variable that mediates the relationship between perception about digital advertising (hereafter PDA) and online purchase intention of fashion brands (hereafter OPI). We propose a gender egalitarianism (hereafter GE)-moderated mediation model whereby ADA mediates the relationships between PDA and OPI in two culturally diverse nations: Malaysia and Pakistan. The model was tested by using 2 (GE appeal: present vs. absent) × 2 (nation: Pakistan vs. Malaysia) × 2 (no exposure to ads/exposure to ads) experimental design with data obtained from a sample of 260. Findings show that there is a significant difference in the relationship between PDA and OPI that is mediated by the attitude in both nations. However, the mediation implication of the attitude is significantly dependent on the interaction of the GE. In this way, the study provides some practical recommendations for the marketers by highlighting the salient advertising features that may be more useful in both nations.


2017 ◽  
Vol 1 (5) ◽  
pp. 74
Author(s):  
Lemein Korei Koitamet ◽  
Professor Bitange Ndemo

Purpose: The general objective of the study was to establish the effect of financial access on the performance of social entrepreneurship firms in Kenya.Methodology: The study adopted a descriptive research design. The total population was 448 employees of Iko toilet and Care Kenya. The sample size was 79 employees of Iko toilet and CARE Kenya who were selected using stratified random sampling. This sample was selected using R software. The raw data obtained from the field was coded, scrutinized, organized and edited to enhance accuracy and hasten analysis by the help of Statistical Package for Social Sciences (SPSS). SPSS assisted in summarizing the data descriptively using frequencies, percentages, means and standard deviation. In order to test the relationship between the dependent and independent variables, inferential statistics that is spearman’s rank correlation r and regression analysis was used.Results: The study found that financial access have a positive and significant relationship with performance of social entrepreneurship firms.Unique contribution to theory, practice and policy: The study recommends that the government should formulate measure to ensure that social entrepreneurship firms are facilitated to gain financial access. In addition, the banking institutions should prolong the loan repayments periods so that the entrepreneurship firms can get enough financial access.


2020 ◽  
Vol 13 ◽  
pp. 1408-1422
Author(s):  
Karieli Belli de Mello Macedo ◽  
Ivanete Schneider Hahn ◽  
Julia Bianchi ◽  
Rosana Claudio Silva Ogoshi

Purpose – This research aimed to study the relationship between entrepreneurial skills and MSMEs (Micro Small and Medium Enterprises) performance.Design/methodology/approach – A quantitative and descriptive research was conducted, operationalized through a survey with 47 MSMEs entrepreneurs.Findings – (1) Most responding entrepreneurs seek opportunities, take calculated risks, and often demand quality and efficiency in their activities within the company. It can also be noted that they always pointed to being persistent, committed and seeking information. They also demonstrated that they often set goals, plan and monitor, maintain contact with their networks, are independent and self-confident; (2) the majority (60.4%) are in high sales growth, 14.6% found to be very profitable and 68.7% have medium to high profitability, 68.8% of them have good market share - so, companies show a positive perception of performance; (3) it was possible to verify that there is a relationship between entrepreneurial skills and the performance of MSMEs. Research implications – even young adults are a representation of future main leaders there is no significant difference between their entrepreneurial skills with other MSMEs owners. Moreover, in the set power, in our study just Persuasion and Network showed relation with performance, even in previous study independence and self-confidence had a relationship with performance.Originality/value: It was possible to conclude that the systematic planning and monitoring and the persuasion and network of contacts are the decisive entrepreneurial characteristics in the performance of the MSMEs.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiaofan Lai ◽  
Fan Wang ◽  
Xinrui Wang

Purpose Online hotel ratings, a form of electronic word of mouth (eWOM), are becoming increasingly important to tourism and hospitality management. Using sentiment analysis based on the big data technique, this paper aims to investigate the relationship between customer sentiment and online hotel ratings from the perspective of customers’ motives in the context of eWOM, and to further identify the moderating effects of review characteristics. Design/methodology/approach The authors first retrieve 273,457 customer-generated reviews from a well-known online travel agency in China using automated data crawlers. Next, they exploit two different sentiment analysis methods to obtain sentiment scores. Finally, empirical studies based on threshold regressions are conducted to establish the asymmetric relationship between customer sentiment and online hotel ratings. Findings The results suggest that the relationship between customer sentiment and online hotel ratings is asymmetric, and a negative sentiment score will exert a larger decline in online hotel ratings, compared to a positive sentiment score. Meanwhile, the reviewer level and reviews with pictures have moderating effects on the relationship between customer sentiment and online hotel ratings. Moreover, two different types of sentiment scores output by different sentiment analysis methods verify the results of this study. Practical implications The moderating effects of reviewer level and reviews with pictures offer new insights for hotel managers to make different customer service policies and for customers to select a hotel based on reviews from the online travel agency. Originality/value This paper contributes to the literature by applying big data analysis to the issues in hotel management. Based on the eWOM communication theories, this study extends previous study by providing an analysis framework for the relationship between customer sentiment and online hotel ratings from the perspective of customers’ motives in the context of eWOM.


2021 ◽  
Vol 14 (8) ◽  
pp. 133-144
Author(s):  
Neelam Kaushal ◽  
Suman Ghalawat ◽  
Apul Saroha

The content on social media is full of useful information that helps in communicating people’s preferences and opinions. The various examples in this context are that people frequently express their opinions about films and other social issues using Twitter, Facebook, etc. In this work, Sentiment Analysis of the Annual Budget for five financial years, namely, 2017–2018, 2018–2019, 2019–2020, 2020–2021, and 2021–2022 was initiated with the help of Twitter. Firstly, the researcher applied Text Mining to extract the budget's text data documents and computed correlation to know the association of influential words. Then, in analysis section plotted the occurrence of the words and the accompanying word cloud. The analysis was performed employing R software. Finally, the sentiment score for each item was calculated and assessed. This research is crucial because conducting a comparative text and Sentiment Analysis of five-year budgets for the Indian economy would communicate the previously prevailing positive and negative forecasts and thinking, which will aid future policymakers in planning future budgets.


2000 ◽  
Vol 39 (01) ◽  
pp. 10-15 ◽  
Author(s):  
S. P. Müller ◽  
Ch. Reiners ◽  
A. Bockisch ◽  
Katja Brandt-Mainz

Summary Aim: Tumor scintigraphy with 201-TICI is an established diagnostic method in the follow-up of differentiated thyroid cancer. We investigated the relationship between thyroglobulin (Tg) level and tumor detectability. Subject and methods: We analyzed the scans of 122 patients (66 patients with proven tumor). The patient population was divided into groups with Tg above (N = 33) and below (N = 33) 5 ng/ml under TSH suppression or above (N = 33) and below (N = 33) 50 ng/ml under TSH stimulation. Tumor detectability was compared by ROC-analysis (True-Positive-Fraction test, specificity 90%). Results: There was no significant difference (sensitivity 75% versus 64%; p = 0.55) for patients above and below 5 ng/ml under TSH suppression and a just significant difference (sensitivity 80% versus 58%; p = 0.04) for patients above and below 50 ng/ml under TSH stimulation. In 18 patients from our sample with tumor, Tg under TSH suppression was negative, but 201-TICI-scan was able to detect tumor in 12 patients. Conclusion: Our results demonstrate only a moderate dependence of tumor detectability on Tg level, probably without significant clinical relevance. Even in patients with slight Tg elevation 201-TICI scintigraphy is justified.


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