Detecting sarcasm in customer tweets: an NLP based approach

2017 ◽  
Vol 117 (6) ◽  
pp. 1109-1126 ◽  
Author(s):  
Shubhadeep Mukherjee ◽  
Pradip Kumar Bala
Keyword(s):  
Language Processing ◽  
Social Issues ◽  
Customer Management ◽  
Function Words ◽  
Content Type ◽  
Management Perspective ◽  
Supervised Learning Algorithms ◽  
Practical Implications ◽  
Incorrect Classification

Purpose The purpose of this paper is to study sarcasm in online text – specifically on twitter – to better understand customer opinions about social issues, products, services, etc. This can be immensely helpful in reducing incorrect classification of consumer sentiment toward issues, products and services. Design/methodology/approach In this study, 5,000 tweets were downloaded and analyzed. Relevant features were extracted and supervised learning algorithms were applied to identify the best differentiating features between a sarcastic and non-sarcastic sentence. Findings The results using two different classification algorithms, namely, Naïve Bayes and maximum entropy show that function words and content words together are most effective in identifying sarcasm in tweets. The most differentiating features between a sarcastic and a non-sarcastic tweet were identified. Practical implications Understanding the use of sarcasm in tweets let companies do better sentiment analysis and product recommendations for users. This could help businesses attract new customers and retain the old ones resulting in better customer management. Originality/value This paper uses novel features to identify sarcasm in online text which is one of the most challenging problems in natural language processing. To the authors’ knowledge, this is the first study on sarcasm detection from a customer management perspective.

scholarly journals A surrogate-based generic classifier for Chinese TV series reviews

2017 ◽  
Vol 45 (2) ◽  
pp. 66-74
Author(s):  
Yufeng Ma ◽  
Long Xia ◽  
Wenqi Shen ◽  
Mi Zhou ◽  
Weiguo Fan
Keyword(s):  
Design Methodology ◽  
Experimental Result ◽  
Digital Information ◽  
Data Set ◽  
Content Type ◽  
Category Labels ◽  
Information Supply Chain ◽  
Feature Selection Techniques ◽  
Practical Implications

Purpose The purpose of this paper is automatic classification of TV series reviews based on generic categories. Design/methodology/approach What the authors mainly applied is using surrogate instead of specific roles or actors’ name in reviews to make reviews more generic. Besides, feature selection techniques and different kinds of classifiers are incorporated. Findings With roles’ and actors’ names replaced by generic tags, the experimental result showed that it can generalize well to agnostic TV series as compared with reviews keeping the original names. Research limitations/implications The model presented in this paper must be built on top of an already existed knowledge base like Baidu Encyclopedia. Such database takes lots of work. Practical implications Like in digital information supply chain, if reviews are part of the information to be transported or exchanged, then the model presented in this paper can help automatically identify individual review according to different requirements and help the information sharing. Originality/value One originality is that the authors proposed the surrogate-based approach to make reviews more generic. Besides, they also built a review data set of hot Chinese TV series, which includes eight generic category labels for each review.

The moderating effect of environmental agencies on firms’ sustainability reporting in Nigeria

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alhassan Haladu ◽  
Saeed Awadh Bin-Nashwan
Keyword(s):  
Environmental Policy ◽  
Social Issues ◽  
Developing Economies ◽  
Sustainability Reporting ◽  
Sustainable Growth ◽  
Sub Saharan Africa ◽  
Content Type ◽  
Environmental Agencies ◽  
The Relationship ◽  
Practical Implications

Purpose An attempt is made in this study aims to examine the extent to which the role of environmental agencies in Nigeria, i.e. DEPARTMENT for Petroleum Resources (DPR), National Environmental Standard and Regulatory Enforcement Agency (NESREA) and Nigerian Stock Exchange (NSE), influences firms’ attributes on sustainability reporting. Design/methodology/approach Both primary and secondary data covers 2015-2019 were used to collate information for the analyzes. The analysis was done using Stata 13 to determine the moderating impact of policy administrators on the relationship between corporate attributes and sustainability reporting. Findings The findings showed a very low level of sustainability reporting (27.53%), with a high significant level. Moreover, a positive and significant relationship exists between the major corporate attributes and sustainability reporting. A highly significant moderating impact of environmental policy administrators exists on these attributes, except for board size. Research limitations/implications The theoretical and practical implications of this study show that there is an indication of the inefficiency of the environmental policy administrators in Nigeria as the significance of the political economy theory as it affects the interactive impact on sustainability reporting. Further research is recommended on political-economic theory so as to know the economic implications of the effects of corporate attributes on environmental disclosure as it impacts governments and societies. Practical implications Results show that there is an indication of inefficiency by Nigeria’s main environmental policy administrators such as DPR, NESREA and NSE as it affects environmental, economic and social issues by listed firms. Originality/value This work emphasizes the moderating impact of environmental agencies on the relationship between firms’ characteristics and sustainability disclosure through the GRI4 framework standard. More so, it applied company attributes essential for a firm’s sustainable growth and development in the developing economies of sub-Saharan Africa.

Introduction of a new AAC symbol classification system: the multidimensional quaternary symbol continuum (MQSC)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Eliada Pampoulou ◽  
Donald R. Fuller
Keyword(s):  
Peer Review ◽  
Classification System ◽  
Augmentative And Alternative Communication ◽  
Social Issues ◽  
Content Type ◽  
Design Attributes ◽  
Wide Range ◽  
Current Classification ◽  
Symbol Classification

PurposeWhen the augmentative and alternative communication (ACC) model (Lloyd et al., 1990) was proposed, these components of symbols were not considered, nor were they contemplated when superordinate (Lloyd and Fuller, 1986) and subordinate levels (Fuller et al., 1992) of AAC symbol taxonomy were developed. The purpose of this paper is to revisit the ACC model and propose a new symbol classification system called multidimensional quaternary symbol continuum (MQSC)Design/methodology/approachThe field of AAC is evolving at a rapid rate in terms of its clinical, social, research and theoretical underpinnings. Advances in assessment and intervention methods, technology and social issues are all responsible to some degree for the significant changes that have occurred in the field of AAC over the last 30 years. For example, the number of aided symbol collections has increased almost exponentially over the past couple of decades. The proliferation of such a large variety of symbol collections represents a wide range of design attributes, physical attributes and linguistic characteristics for aided symbols and design attributes and linguistic characteristics for unaided symbols.FindingsTherefore, it may be time to revisit the AAC model and more specifically, one of its transmission processes referred to as the means to represent.Originality/valueThe focus of this theoretical paper then, is on the current classification of symbols, issues with respect to the current classification of symbols in terms of ambiguity of terminology and the evolution of symbols, and a proposal for a new means of classifying the means to represent.Peer reviewThe peer review history for this article is available at: https://publons.com/publon10.1108/JET-04-2021-0024

Supply chain resilience: a systematic literature review and typological framework

2018 ◽  
Vol 48 (8) ◽  
pp. 842-865 ◽  
Author(s):  
Cigdem Gonul Kochan ◽  
David R. Nowicki
Keyword(s):  
Supply Chain ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Future Research ◽  
Exploratory Research ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Assessment Techniques ◽  
Practical Implications

PurposeThe study of supply chain resilience (SCRES) continues to gain interest in the academic and practitioner communities. The purpose of this paper is to present a focused review of the SCRES literature by investigating supply chain (SC) capabilities, their relationship to SCRES outcomes and the underpinning theoretical mechanisms of this relationship.Design/methodology/approachThe paper uses the systematic literature review approach to examine 383 articles published between 2000 and 2017, ultimately down selecting to the most relevant 228 peer-reviewed studies. Context-interventions-mechanisms-outcomes (CIMO) logic is applied to organize and synthesize these peer-reviewed studies. A typological framework is developed from the CIMO-based classification of the SCRES literature.FindingsThe findings of this study outline the gaps in the SCRES literature and present an agenda for future research.Research limitations/implicationsThis paper presents an exploratory research; therefore, the typological model presented is just one of the possible perspectives.Practical implicationsThe typology of SCRES literature can help practitioners to understand SCRES and to measure and assess the resilience of SCs.Originality/valueThe paper provides clear definitions of SCRES constructs, develops a typological framework to further understand SCRES and identifies SCRES measures and assessment techniques.

When brands take a stand: the nature of consumers’ polarized reactions to social narrative videos

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tyler Milfeld ◽  
Daniel J. Flint
Keyword(s):  
Social Issues ◽  
Marketing Research ◽  
Phenomenological Approach ◽  
Product Placement ◽  
Content Type ◽  
Perceived Realism ◽  
Social Message ◽  
Social Narrative ◽  
Depth Interviews ◽  
Practical Implications

Purpose A growing number of consumers expect brands to take a stand on social issues. When Gillette launched its video with a social message in 2019, the popular press described it as divisive and controversial. This study aims to examine themes behind the polarized consumer response, aiding brands in the development of social narrative videos. Design/methodology/approach The authors use an existential-phenomenological approach to investigate the meaning behind consumers’ reactions to the Gillette video. Empirical data collection consisted of 24 semi-structured, in-depth interviews. Data were analyzed using the hermeneutic method. Findings By viewing the Gillette video through the lens of a story, this research uncovers how marketing stories can lead to different interpretations. Specifically, the roots of polarization lie in perceived realism activation and character activation. Additionally, product placement may activate persuasive intent, interrupting immersion into the story. Practical implications Brand managers should consider the potential for alternative interpretations when using storytelling. By measuring a viewer’s narrative transportation, it is possible to identify different interpretations. From a tactical standpoint, brand managers should be cautious about using celebrity endorsers and prominent product placement in social narrative videos. These cues activate persuasive intent, leading to alternative interpretations. Originality/value While marketing research has tended to focus on storytelling’s positive outcomes, this research considers how stories can result in polarizing outcomes for brands. The concept of social narrative videos is introduced and a framework is presented that outlines facilitators and inhibitors for this type of brand communication.

Developing a domain ontology for knowledge management technologies

2018 ◽  
Vol 42 (1) ◽  
pp. 28-44 ◽  
Author(s):  
Parvin Hashemi ◽  
Ameneh Khadivar ◽  
Mehdi Shamizanjani
Keyword(s):  
Knowledge Management ◽  
Formal Ontology ◽  
Content Type ◽  
Web Environment ◽  
Km Strategy ◽  
The Many ◽  
Common Understanding ◽  
Taxonomic Relations ◽  
Practical Implications

Purpose The purpose of this paper is to develop a new ontology for knowledge management (KM) technologies, determining the relationships between these technologies and classification of them. Design/methodology/approach The study applies NOY methodology – named after Natalya F. Noy who initiated this methodology. Protégé software and ontology web language are used for building the ontology. The presented ontology is evaluated with abbreviation and consistency criteria and knowledge retrieval of KM technologies by experts. Findings All the main concepts in the scope of KM technologies are extracted from existing literature. There are 241 words, 49 out of them are domain concepts, eight terms are about taxonomic and non-taxonomic relations, one term relates to data property and 183 terms are instances. These terms are used to develop KM technologies’ ontology based on three factors: facilitating KM processes, supporting KM strategies and the position of technology in the KM technology stage model. The presented ontology is created a common understanding in the field of KM technologies. Research limitations/implications Lack of specific documentary about logic behind decision making and prioritizing criteria in choosing KM technologies. Practical implications Uploading the presented ontology in the web environment provides a platform for knowledge sharing between experts from around the world. In addition, it helps to decide on the choice of KM technologies based on KM processes and KM strategy. Originality/value Among the many categories of KM technologies in literature, there is no classifying according to several criteria simultaneously. This paper contributes to filling this gap and considers KM processes, KM strategy and stages of growth for KM technologies simultaneously to choice the KM technologies and also there exists no formal ontology regarding KM technologies. This study has tried to propose a formal KM technologies’ ontology.

A taxonomy of value co-creation on Weibo – a communication perspective

2018 ◽  
Vol 30 (4) ◽  
pp. 2075-2092 ◽  
Author(s):  
Jing Ge ◽  
Ulrike Gretzel
Keyword(s):  
Social Media ◽  
Future Research ◽  
Marketing Organization ◽  
Content Type ◽  
Social Media Platform ◽  
Social Media Platforms ◽  
Media Platform ◽  
Comprehensive Classification ◽  
Practical Implications

Purpose This paper aims to develop a taxonomy of value co-creation types occurring in firm-customer interactions on social media. Design/methodology/approach In total, 570 destination marketing organization (DMO)-initiated posts on Weibo and 3,137 responses were collected to develop a taxonomy by conducting qualitative empirical-to-conceptual analysis. To apply the taxonomy through conceptual-to-empirical analysis, 100 DMO-initiated posts and 823 responses were collected. Findings The communication-focused value co-creation taxonomy shows a variety of co-creators, verbal and non-verbal communicative co-creation actions facilitated by social media, and different co-created value types. Research limitations/implications This study used a single social media platform and selected three DMOs’ Weibo accounts. Future research should focus on other types of firms and different social media platforms. Practical implications This study used a single social media platform and selected three DMOs’ Weibo accounts. Future research should focus on other types of firms and different social media platforms. Originality/value This study enriches the tourism literature and the general marketing literature by examining value co-creation from a communication perspective and provides a comprehensive classification of value co-creation opportunities on social media.

Estimating numerical scale ratings from text-based service reviews

2020 ◽  
Vol 31 (2) ◽  
pp. 187-202
Author(s):  
Hsiu-Yuan Tsao ◽  
Ming-Yi Chen ◽  
Colin Campbell ◽  
Sean Sands
Keyword(s):  
Language Processing ◽  
Text Analysis ◽  
Design Methodology ◽  
Survey Methods ◽  
Content Type ◽  
Consumer Review ◽  
Numerical Scale ◽  
Analysis Technique ◽  
Textual Data ◽  
Practical Implications

PurposeThis paper develops a generalizable, machine-learning-based method for measuring established marketing constructs using passive analysis of consumer-generated textual data from service reviews. The method is demonstrated using topic and sentiment analysis along dimensions of an existing scale: lodging quality index (LQI).Design/methodology/approachThe method induces numerical scale ratings from text-based data such as consumer reviews. This is accomplished by automatically developing a dictionary from words within a set of existing scale items, rather a more manual process. This dictionary is used to analyze textual consumer review data, inducing topic and sentiment along various dimensions. Data produced is equivalent with Likert scores.FindingsPaired t-tests reveal that the text analysis technique the authors develop produces data that is equivalent to Likert data from the same individual. Results from the authors’ second study apply the method to real-world consumer hotel reviews.Practical implicationsResults demonstrate a novel means of using natural language processing in a way to complement or replace traditional survey methods. The approach the authors outline unlocks the ability to rapidly and efficiently analyze text in terms of any existing scale without the need to first manually develop a dictionary.Originality/valueThe technique makes a methodological contribution by outlining a new means of generating scale-equivalent data from text alone. The method has the potential to both unlock entirely new sources of data and potentially change how service satisfaction is assessed and opens the door for analysis of text in terms of a wider range of constructs.

Eliciting positive social change: marketing’s capacity to drive prosocial behaviours

2015 ◽  
Vol 33 (5) ◽  
pp. 826-843 ◽  
Author(s):  
Aron O'Cass ◽  
Deborah Griffin
Keyword(s):  
Social Change ◽  
Social Marketing ◽  
Social Issues ◽  
Future Research ◽  
Prosocial Behaviour ◽  
Negative Consequences ◽  
Content Type ◽  
Positive Feelings ◽  
Prosocial Behaviours ◽  
Practical Implications

Purpose – While social marketing has been utilised to bring about positive social change, ultimately, the decision to engage in prosocial behaviour resides with the individual. The purpose of this paper is to explore the determinants and outcomes of prosocial behaviours. Design/methodology/approach – A web-based self-administered survey was used to collect data from a convenience sample of largely university staff and students. Data obtained were analysed using SEM-based partial least squares methodology. Findings – The results show that individuals who are future oriented and issue involved are more likely to engage in prosocial behaviour. Also, these individuals are more likely to assess fewer negative consequences and experience more positive feelings as a result of their prosocial behaviour. Research limitations/implications – While the study focuses on two social issues, it does provide some explanation of self-reported behaviour, rather than intention to behave. However, future research could pay attention to a wider array of social issues and undertake post hoc testing to measure the characteristics of the chosen social issues. This may enhance findings, and provide greater support for the generalisability of the model. Also, future research could be directed towards the examining the role of perceived risk and feelings as an outcome of behaviour. Practical implications – A better understanding of the prosocial individual can assist in designing more effective social marketing campaigns. In particular, focusing on positive feelings as a result of engaging in prosocial behaviour has practical implications. Originality/value – Little attention has been given in the marketing and consumer behaviour literature to understanding the prosocial individual. To this end, this research empirically tests a model of prosocial behaviour for two social issues that integrates determinants (social responsibility, time orientation and issue involvement) and outcomes (assessment of negative consequences and feelings). Moreover, the results highlight that positive feelings are a significant outcome of prosocial behaviour.

Understanding board-CEO power dependency perspective under symbolic management

2015 ◽  
Vol 25 (1) ◽  
pp. 50-73
Author(s):  
Pingying Zhang ◽  
Paul Fadil ◽  
Chris Baynard
Keyword(s):  
Information Provision ◽  
Management Approach ◽  
Ceo Power ◽  
Content Type ◽  
Symbolic Management ◽  
Management Perspective ◽  
Dependency Model ◽  
High Level ◽  
Practical Implications ◽  
Effective Result

Purpose – The purpose of this paper is to better understand dependency issues between the CEO and the board as well as the between the board and CEO through Emerson’s power dependency framework. Design/methodology/approach – A symbolic management approach is integrated with a board-CEO power dependency model to study the dependency issues. Findings – According to the symbolic management perspective, uncertainty increases the likelihood of symbolic actions. A high level of uncertainty in CEO dependency issues suggests a high likelihood that board power over the CEO is manifested on a symbolic level, whereas a low level of uncertainty in board dependency issues suggests otherwise for CEO power over the board. The core of board-dependency issues is information provision. Practical implications – A focus on improving board control over CEO performance, compensation and strategic proposals is likely to generate symbolic actions without an effective result. Originality/value – The paper advocates that an effective approach to enhance board power is through reducing board information dependency on the CEO.

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