Approaches and Applications for Sentiment Analysis

With the increasing penetration of the internet, an ever-growing number of people are voicing their opinions in the numerous blogs, tweets, forums, social networking, and consumer review websites. Each such opinion has a sentiment (positive, negative, or neutral) associated with it. But the problem is that the amount of data is simply overwhelming. Methods like supervised machine learning and lexical-based approaches are available for measuring sentiments that have a huge volume of opinionated data recorded in digital form for analysis. Sentiment analysis has been used in several applications including analysis of the repercussions of events in social networks, analysis of opinions about products and services. This chapter presents sentiment analysis applications and challenges with their approaches and tools. The techniques and applications discussed in this chapter will provide a clear-cut idea to the sentiment analysis researchers to carry out their work in this field.

THE ROLE OF ONLINE CONSUMER REVIEW, SOCIAL MEDIA ADVERTISEMENT AND INFLUENCER ENDORSEMENT ON PURCHASE INTENTION OF FASHION APPAREL DURING COVID-19

Recent marketing research focuses on social media marketing as an essential tool for companies to fully utilise particularly with the increase of online and home-based consumption during pandemic. In particular, the authors hypothesize that online consumer review, social media advertisement and influencers endorsement may affect online purchase intention. The investigation of the hypotheses utilizes a sample of 163 customers who shop for fashion apparel via online platforms during the pandemic. In order to assess the relationships between these variables, the current research used quantitative methods through an online self-administered questionnaire, in which the scale items were derived from existing literature. These results suggest that ‘Online Consumer Review’, ‘Social Media Advertisement’, and ‘Influencer Endorsement’ have a positive and significant correlation with online purchase intention of fashion apparel during pandemic (r = .25; r = .35; r = .48, respectively). The researcher deliberates the implications for marketing research and practice which include addressing the literature gap in understanding online purchase intention of fashion apparel during the pandemic and highlighting the importance of social media marketing for companies to survive in the 21st century of online-based consumption and consumer-oriented social media.

Purchase Intention: Can Brand Awareness Mediates Online Consummer Reviews?

This study aims to determine the effect of Online Consumer Review on Purchase Intention with Brand Awareness as an Intervening Variable at Shopee into STEKOM University’s students. The primary data was obtained by distributing questionnaires to buyers who have shopped at Shopee which consists of 23 questions. Samples of 130 respondents taken by random sampling technique. The analytical tool used in data processing uses Multiple Linear Regression with the help of SPSS version 25. The results show that Online Consumer Reviews ( Online Reviews on Website, Consistency of Online Reviews and Website Popularity) have a positive effect on brand awarensess at Shopee. Online Consumer Reviews (Online Reviews on Website, Online Consistency of Reviews and Popularity of Website) variables also have a positive and significant effect on Purchase Intention. Meanwhile, the Brand Awareness variable is not able to mediate Online Consumer Reviews on Purchase Intentions at the Shopee shopping platform.

“Worse Than What I Read?” The External Effect of Review Ratings on the Online Review Generation Process: An Empirical Analysis of Multiple Product Categories Using Amazon.com Review Data

In this paper, we study the online consumer review generation process by analyzing 37.12 million online reviews across nineteen product categories obtained from Amazon.com. This study revealed that the discrepancy between ratings by others and consumers’ post-purchasing evaluations significantly influenced both the valence and quantity of the reviews that consumers generated. Specifically, a negative discrepancy (‘worse than what I read’) significantly accelerates consumers to write negative reviews (19/19 categories supported), while a positive discrepancy (‘better than what I read’) accelerates consumers to write positive reviews (16/19 categories supported). This implies that others’ ratings play an important role in influencing the review generation process by consumers. More interestingly, we found that this discrepancy significantly influences consumers’ neutral review generation, which is known to amplify the effect of positive or negative reviews by affecting consumers’ search behavior or the credibility of the information. However, this effect is asymmetric. While negative discrepancies lead consumers to write more neutral reviews, positive discrepancies help reduce neutral review generation. Furthermore, our findings provide important implications for marketers who tend to generate fake reviews or selectively generate reviews favorable to their products to increase sales. Doing so may backfire on firms because negative discrepancies can accelerate the generation of objective or negative reviews.

Make the apps stand out: discoverability and perceived value are vital for adoption

PurposeFrom an environmental psychology perspective, we aim to uncover the role that app discoverability facilitators play in enabling the various perceived values (e.g. social, information and hedonic) necessary for app adoption.Design/methodology/approachA survey study was conducted and data was analyzed using partial least squares structural equation modeling (PLS-SEM).FindingsResults show that certain consumer review elements (i.e. review quality, review quantity and app ranking), peer influence and app developers' reputation — to varying degrees — influence the three perceived values, which subsequently affect users' app adoption intention. The three perceived values mediate the relationship between app discoverability facilitators and users' app adoption intention.Practical implicationsApp store managers and developers should make a greater effort to effectively optimize discoverability and product differentiation.Originality/valueGuided by environmental psychology, we confirm the importance of app discoverability facilitators regarding their influence on users' general perceptions of an app (e.g. the three perceived values). We also uncover the differentiated effect of the three perceived values on app adoption intention.

Customer responses to service failures on social media

Purpose As customers increasingly adopt social media as the primary channel to reach out to companies, voicing is becoming a public act. Adopting a social psychological perspective, this study aims to focus on the social dynamics that drive consumer voice on social media. Design/methodology/approach The research uses three studies. First, a list of metaperceptions about voicing behavior is compiled using the critical incident technique, and then the hypothesized effects are tested with two scenario-based experiments. Findings Metaperceptions mediate the relationship between social anxiety and the intention to voice on social media. Self-construal moderates the effect of metaperceptions, such that in the presence of a negative metaperception, the reluctance to post a direct complaint is attenuated under independent self-construal. Independent self-construal attenuates the positive effect of positive metaperception. An experimental comparison between social media and consumer review sites reveals that metaperceptions are only prevalent in social media and when the complainer construes him or herself as interdependent. Originality/value Since lodging a direct complaint to a service provider has been mainly conceived as a private behavior, the role of social dynamics in the context of voicing remains under-researched. Aiming to fill this gap, the present research empirically examines how the presence of a perceived audience affects voicing behavior.

Pengaruh Online Consumer Review dan Rating terhadap Minat Beli Produk Kesehatan pada E-Marketplace Shopee Selama Masa Pandemi COVID-19

Pandemi COVID-19 mendorong peningkatan penjualan produk-produk kesehatan seperti masker, handsanitizer, obat-obatan dan lain-lain. Sebagai pemimpin pasar e-marketplace yang sedang berkembang di Indonesia, Shopee menyediakan fitur online consumer review dan rating pada platformnya. Penelitian ini bertujuan untuk menganalisis pengaruh online consumer review dan rating terhadap minat beli produk kesehatan pada e-marketplace Shopee selama masa pandemi COVID-19 di Jabodetabek. Penarikan sampel dilakukan dengan teknik purposive sampling. Metode yang digunakan dalam penelitian ini adalah analisis deskriptif dan SEM-PLS, dengan responden sebanyak 191 orang. Hasil analisis menunjukkan variabel online consumer review dan rating berpengaruh positif dan signifikan terhadap minat beli produk kesehatan dengan variabel rating memiliki pengaruh lebih dominan.