Twitter User Profiling Model Based on Temporal Analysis of Hashtags and Social Interactions

Gorrab, Abir; Kboubi, Férihane; Jaffal, Ali; Grand, Bénédicte Le; Ghezala, Henda Ben

doi:10.1007/978-3-319-59569-6_12

Cited by 7 publications

(2 citation statements)

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“…In the last years profiling has focused on criteria, data sourcing, features used in the profiling process and the main techniques used buy the marketing specialists. Some authors (Siswanto et al, 2014;Raghuram et al, 2016;Gorrab et al, 2017) proposed different techniques such as psychographic interests, scalable and comprehensive models for automatically classifying users, group profiling methodologies, in order to identify the best way off delivering the optimum understanding of social media users.…”

Section: Brief Literature Reviewmentioning

confidence: 99%

Social Media Profiling for the Development of Online Marketing Strategies

Fuciu

2022

Studies in Business and Economics

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Social media has become an almost permanent presence in our lives and in the business world. In the last two decades the marketing activity has changed greatly due to the development, of social interaction platforms such as Facebook, Instagram, Twitter, or TikTok. The usage of social media marketing has created new challenges for the marketing specialists which needed to adapt and adjust their strategies to meet the direction but the business environment is going. Among the challenges that the marketing world is facing when using social media is that of profiling the consumers (current and potential) in order to achieve a successful marketing strategy and therefore lead to higher financial gains. The current paper aims to bring forward the importance of social media profiling in the marketing activity while underlining some important theoretical aspects about social media and profiling and at the same time presenting the results over short secondary data analysis that shows some general profiles for Instagram and TikTok user, with a direct link to the evolution of the revenues generated by the advertising done on the two mentioned social media platforms.

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Section: Brief Literature Reviewmentioning

confidence: 99%

Social Media Profiling for the Development of Online Marketing Strategies

Fuciu

2022

Studies in Business and Economics

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“…Entity profiling is worth researching, considering that social media is currently widely used to discuss hot issues that lead to a topic of conversation. Research on user profiling using temporal analysis based on tweet time intervals, it can be carried out to form clusters of recommended groups of hashtags and similar users to follow [3]. In the other case, clustering can be used to determine student profile base on learning achievement [4].…”

Section: Introductionmentioning

confidence: 99%

Entity Profiling to Identify Actor Involvement in Topics of Social Media Content

Cahyo¹,

Habibi²

2020

Indonesian J. Comput. Cybern. Syst.

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The efficiency of using social media affected modern society's nature and communication; they are more interested in talking through social media than meeting in the real world. The number of talks on social media content depends on the topic being discussed. The more topic interesting will impact the amount of data on social media will be. The data can be analyzed to get the influence of actors (account mentions) on the conversation. The power of an actor can be measured from how often the actor is mentioned in the conversation. This paper aims to conduct entity profiling on social media content to analyze an actor's influence on discussion. Furthermore, using sentiment analysis can determine the sentiment about an actor from a conversation topic. The Latent Dirichlet Allocation (LDA) method is used for analyzes topic modeling, while the Support Vector Machine (SVM) is used for sentiment analysis. This research can show that topics with positive sentiment are more likely to be involved in disaster management accounts, while topics with negative sentiment are more towards involvement in politicians, critics, and online news.

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