Social media analysis and summarization for opinion mining: a business case study

Rahmani, Ali; Chen, Alan Chia-Lung; Sarhan, Abdullah; Jida, Jamal; Rifaie, Mohammad; Alhajj, Reda

doi:10.1007/s13278-014-0171-y

Cited by 15 publications

(8 citation statements)

References 28 publications

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“…Subjectivity analysis and opinion mining, or processing social media text using specially designed computational systems, are shared objectives of various fields (Robinson et al 2012). Text mining, the process of exploring large amounts of unstructured text data with tools that can analyze its patterns, latent topics, keywords, and concepts, may help analyze problemsolving techniques or topic summaries (Rahmani et al 2014), time-trends, or social networks (Salloum et al 2017).…”

Section: Social Media Text Mining and Topic Modelingmentioning

confidence: 99%

Cross-platform comparison of framed topics in Twitter and Weibo: machine learning approaches to social media text mining

Yang

Hsu

Löfgren

et al. 2021

Soc. Netw. Anal. Min.

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While the salience of social media platforms on modern interactive communication between diverse social actors has been demonstrated, less academic attention has been paid to comparisons between framed topics and user interactions across social media platforms, such as Twitter and Weibo. This article suggests text mining and natural language processing tools for cross-platform comparative social media studies, based on Latent Dirichlet Allocation (LDA) and social network analysis. This study illustrates how the suggested topic models and data processing algorithms can be applied to a real-life example (U.S.-China trade war discourse on social media), and experimented the methods on social media text mining data, revealing differences between user interactions on Twitter, predominantly "Western," and Weibo, largely representing Chinesespeaking users. We discuss the strengths and weaknesses of the suggested machine learning algorithms for comparative social media studies.

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Section: Social Media Text Mining and Topic Modelingmentioning

confidence: 99%

Cross-platform comparison of framed topics in Twitter and Weibo: machine learning approaches to social media text mining

Yang

Hsu

Löfgren

et al. 2021

Soc. Netw. Anal. Min.

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“…Previous studies have utilised Application Program Interface to follow social media discussions on topics of interest (Rahmani et al, 2014). This was considered unsuitable as the results would include public discussion.…”

Section: Criteria Identificationmentioning

confidence: 99%

Crafty Marketing: An Evaluation of Distinctive Criteria for “Craft” Beer

Morgan

Lane

Styles

2020

Food Reviews International

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There is increasing consumer demand for craft beer, and for clarification of its definition in the face of widespread (mis)marketing. In recent years many small scale and independent breweries have been purchased by large brewing organisations vying to get a share of the growing and profitable niche market in craft beer. This raises the question of whether the beer produced by such breweries can still be defined as "craft". Are there other factors that should be taken into consideration when defining genuine craft breweries? From the perspective of a consumer who seeks a craft product, little is known about how and where the beer is produced, and when labels are taken at face value there is a greater responsibility for retailers to distinguish between craft and mainstream beers. In this paper we explore the conceptual and practical aspects of defining craft beer, with reference to definitions established by various national industry associations.

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“…Major changes from the way of interaction and classical communication to virtual societies that cross borders, geographical locations, ethnic diversity, and others. In a network platform environment, each user plays a role as a social actor and is involved in sharing content by presenting ideas on various topics [2]. Successful entrepreneurs must respect and hope that readers will gain broader insights and understand entrepreneurship in the world [3].…”

Section: Introductionmentioning

confidence: 99%

Information Technology as a Promotion Agent

Sudistira

Nasruddin

2021

INJURATECH

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The purpose of this study is to see how promotions are carried out on social media as a marketing agent at this time. This research used a descriptive method by observing internet user behavior and analyzing the marketing strategy of Instagram as one of the platform social media that effectively as a promotion agent. The results of this paper show that many business people use various social media platforms as a medium to promote the products they offer. It is because, in the current era, social media is a medium that is widely used by large communities in various parts of the world. With various facilities and also minimal costs, making social media widely used by business people with attractive offers and affordable prices.

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Social media analysis and summarization for opinion mining: a business case study

Cited by 15 publications

References 28 publications

Cross-platform comparison of framed topics in Twitter and Weibo: machine learning approaches to social media text mining

Cross-platform comparison of framed topics in Twitter and Weibo: machine learning approaches to social media text mining

Crafty Marketing: An Evaluation of Distinctive Criteria for “Craft” Beer

Information Technology as a Promotion Agent

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