An Effective Social Network Sentiment Mining Model for Healthcare Product Sales Analysis

Kao, Li-Jen; Huang, Yo-Ping

doi:10.1109/smc.2018.00370

Cited by 3 publications

(3 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…From the perspective of research methods, most existing studies have considered the promotion effect of innovative products by selecting a single variable of user information behavior, such as comments' sentiment polarity [14], users share for [15][16][17], or mobile social network use time [18][19][20].…”

Section: Introductionmentioning

confidence: 99%

The Influence of the Network Evolutionary Game Model of User Information Behavior on Enterprise Innovation Product Promotion Based on Mobile Social Network Marketing Perspective

Liu

Guo

et al. 2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

User information behavior is an important factor affecting the promotion effect of enterprises’ innovative products on mobile social networks. To provide insights as to how enterprises can better promote innovative products, this paper conducts a quantitative study of its internal function. We introduce a network evolutionary game model based on the Bass model, first to describe the background of the mobile social network, then to simulate the diffusion process of the social network and the user’s decision-making game behavior during promotion of enterprises’ innovative products, and finally to simulate the promotion effect on innovative products and solve for the conditions for the best innovative product marketing effect and the model are simulated from multiple angles. Our simulation results show that mobile social network marketing in the initial stage of product promotion has a significant impact on the promotion effect of innovative products. When user feedback is poor, advertisement diffusion has an obvious effect on product promotion. In mobile social networks, the proportion of positive feedback from users has a greater impact on the product promotion effect, while the proportion of negative feedback has a smaller impact on the product promotion effect. The impact of negative reviews is time sensitive. According to the simulation results, we propose several suggestions to improve the promotion effect of enterprises’ innovative products on mobile social networks.

show abstract

Section: Introductionmentioning

confidence: 99%

The Influence of the Network Evolutionary Game Model of User Information Behavior on Enterprise Innovation Product Promotion Based on Mobile Social Network Marketing Perspective

Liu

Guo

et al. 2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

“…From all the studies analysed, 39 performed aspect-based social opinion mining, with 37 [103,435,321,104,434,151,150,46,122,517,328,436 417,512,123,421,343,497,374,171,369,72,377,298,426,84,99,77,511,81,213,44,315,508,504] focusing on aspect-based sentiment analysis, 1 [51] on aspect-based sentiment and emotion analysis and 1 [507] on aspect-based affect analysis.…”

Section: Aspect-based Social Opinion Miningmentioning

confidence: 99%

“…In terms of Marketing & Advertising & Sales, 29 studies focused on brand/product management and/or awareness [479,544,104,48,156,89,560,153,126,328,343,363,208,131,183,80,44,543,214,117], products/services in general [509,434,68,63,214], local marketing [138] and online advertising [232,435,362].…”

Section: Application Areas Of Social Opinion Miningmentioning

confidence: 99%

Over a Decade of Social Opinion Mining: A Systematic Review

Cortis,

Davis

2020

Preprint

View full text Add to dashboard Cite

Social media popularity and importance is on the increase, due to people using it for various types of social interaction across multiple channels. This social interaction by online users includes submission of feedback, opinions and recommendations about various individuals, entities, topics, and events. This systematic review focuses on the evolving research area of Social Opinion Mining, tasked with the identification of multiple opinion dimensions, such as subjectivity, sentiment polarity, emotion, affect, sarcasm and irony, from user-generated content represented across multiple social media platforms and in various media formats, like text, image, video and audio. Therefore, through Social Opinion Mining, natural language can be understood in terms of the different opinion dimensions, as expressed by humans. This contributes towards the evolution of Artificial Intelligence, which in turn helps the advancement of several real-world use cases, such as customer service and decision making. A thorough systematic review was carried out on Social Opinion Mining research which totals 485 studies and spans a period of twelve years between 2007 and 2018. The in-depth analysis focuses on the social media platforms, techniques, social datasets, language, modality, tools and technologies, natural language processing and other

show abstract

Over a decade of social opinion mining: a systematic review

Cortis

Davis

2021

Artif Intell Rev

View full text Add to dashboard Cite

Social media popularity and importance is on the increase due to people using it for various types of social interaction across multiple channels. This systematic review focuses on the evolving research area of Social Opinion Mining, tasked with the identification of multiple opinion dimensions, such as subjectivity, sentiment polarity, emotion, affect, sarcasm and irony, from user-generated content represented across multiple social media platforms and in various media formats, like text, image, video and audio. Through Social Opinion Mining, natural language can be understood in terms of the different opinion dimensions, as expressed by humans. This contributes towards the evolution of Artificial Intelligence which in turn helps the advancement of several real-world use cases, such as customer service and decision making. A thorough systematic review was carried out on Social Opinion Mining research which totals 485 published studies and spans a period of twelve years between 2007 and 2018. The in-depth analysis focuses on the social media platforms, techniques, social datasets, language, modality, tools and technologies, and other aspects derived. Social Opinion Mining can be utilised in many application areas, ranging from marketing, advertising and sales for product/service management, and in multiple domains and industries, such as politics, technology, finance, healthcare, sports and government. The latest developments in Social Opinion Mining beyond 2018 are also presented together with future research directions, with the aim of leaving a wider academic and societal impact in several real-world applications.

show abstract

An Effective Social Network Sentiment Mining Model for Healthcare Product Sales Analysis

Cited by 3 publications

References 19 publications

The Influence of the Network Evolutionary Game Model of User Information Behavior on Enterprise Innovation Product Promotion Based on Mobile Social Network Marketing Perspective

The Influence of the Network Evolutionary Game Model of User Information Behavior on Enterprise Innovation Product Promotion Based on Mobile Social Network Marketing Perspective

Over a Decade of Social Opinion Mining: A Systematic Review

Over a decade of social opinion mining: a systematic review

Contact Info

Product

Resources

About