Social Media Mining

Big Data ◽  
2016 ◽  
pp. 2401-2414
Author(s):  
Vipul Gupta ◽  
Mayank Gupta
Keyword(s):  
Social Media ◽  
Customer Service ◽  
Financial Services ◽  
High Speed ◽  
Business Models ◽  
Political Campaigns ◽  
Viral Marketing ◽  
Social Media Mining ◽  
Use Of Social Media ◽  
Media Mining

Social media has gained a lot of importance in this modern high-speed world where people sprint to save every bit of time and money. Social media, considered “big data”, is finding legitimate and practical uses in political campaigns, job applications, business promotion, professional networking, and customer service. The use of data mining social media is reshaping business models, accelerating “viral” marketing, and enabling the rapid growth of grassroots communities. In addition, organizations now rely on social media for interacting internally as well as externally. Industries from manufacturing to retail to financial services, rely ever-more heavily on the use of social media causing an exploding Social Media Mining (SMM) applications market with a growing list of software vendors and consulting firms all jockeying for position in this burgeoning market. This paper is intent on accomplishing a systematic presentation of the body of knowledge in the growing field of SMM.

Social Media Mining

2016 ◽  
Vol 3 (1) ◽  
pp. 58-68 ◽  
Author(s):  
Vipul Gupta ◽  
Mayank Gupta
Keyword(s):  
Social Media ◽  
Customer Service ◽  
Financial Services ◽  
High Speed ◽  
Business Models ◽  
Political Campaigns ◽  
Viral Marketing ◽  
The Body ◽  
Social Media Mining ◽  
Media Mining

Social media has gained a lot of importance in this modern high-speed world where people sprint to save every bit of time and money. Social media, considered “big data”, is finding legitimate and practical uses in political campaigns, job applications, business promotion, professional networking, and customer service. The use of data mining social media is reshaping business models, accelerating “viral” marketing, and enabling the rapid growth of grassroots communities. In addition, organizations now rely on social media for interacting internally as well as externally. Industries from manufacturing to retail to financial services, rely ever-more heavily on the use of social media causing an exploding Social Media Mining (SMM) applications market with a growing list of software vendors and consulting firms all jockeying for position in this burgeoning market. This paper is intent on accomplishing a systematic presentation of the body of knowledge in the growing field of SMM.

Social Media Mining for Assessing Brand Popularity

2018 ◽  
Vol 14 (1) ◽  
pp. 40-59 ◽  
Author(s):  
Eman S Al-Sheikh ◽  
Mozaherul Hoque Abul Hasanat
Keyword(s):  
Social Media ◽  
Hybrid Approach ◽  
Svm Classifier ◽  
Classification Models ◽  
Cosmetic Products ◽  
Social Media Mining ◽  
Customer Feedback ◽  
Use Of Social Media ◽  
Textual Content ◽  
Media Mining

Businesses seek to analyse their customer feedback to compare their brand's popularity with the popularity of competing brands. The increasing use of social media in recent years is producing large amounts of textual content, which has become rich source of data for brand popularity analysis. In this article, a novel hybrid approach of classification and lexicon based methods is proposed to assess brand popularity based on the sentiments expressed in social media posts. Two different classification models using Naïve Bayes (NB) and SVM are built based on Twitter messages for 9 different brands of 3 cosmetic products. In addition, sentiment quantification have been performed using a lexicon-based approach. Based on the overall comparison of the proposed models, the SVM classifier has the highest performance with 78.85% accuracy and 94.60% AUC, compared to 73.57% and 63.63% accuracy, 80.63% and 69.38% AUC of the NB classifier and the sentiment quantification approach respectively. Specific indices based on classification and lexicon approaches are proposed to assess the brand popularity.

Social Media Mining for Assessing Brand Popularity

2020 ◽  
pp. 803-824
Author(s):  
Eman S. Al-Sheikh ◽  
Mozaherul Hoque Abul Hasanat
Keyword(s):  
Social Media ◽  
Hybrid Approach ◽  
Svm Classifier ◽  
Classification Models ◽  
Cosmetic Products ◽  
Social Media Mining ◽  
Customer Feedback ◽  
Use Of Social Media ◽  
Textual Content ◽  
Media Mining

Businesses seek to analyse their customer feedback to compare their brand's popularity with the popularity of competing brands. The increasing use of social media in recent years is producing large amounts of textual content, which has become rich source of data for brand popularity analysis. In this article, a novel hybrid approach of classification and lexicon based methods is proposed to assess brand popularity based on the sentiments expressed in social media posts. Two different classification models using Naïve Bayes (NB) and SVM are built based on Twitter messages for 9 different brands of 3 cosmetic products. In addition, sentiment quantification have been performed using a lexicon-based approach. Based on the overall comparison of the proposed models, the SVM classifier has the highest performance with 78.85% accuracy and 94.60% AUC, compared to 73.57% and 63.63% accuracy, 80.63% and 69.38% AUC of the NB classifier and the sentiment quantification approach respectively. Specific indices based on classification and lexicon approaches are proposed to assess the brand popularity.

The Use of Social Media by the Botswana Government and Governance of Liquid Communication

Mousaion ◽  
2019 ◽  
Vol 37 (1) ◽  
Author(s):  
Tshepho Lydia Mosweu
Keyword(s):  
Social Media ◽  
Customer Service ◽  
Community Involvement ◽  
Media Content ◽  
Service Access ◽  
Communication Tool ◽  
African Countries ◽  
The World ◽  
The Government ◽  
Use Of Social Media

Social media as a communication tool has enabled governments around the world to interact with citizens for customer service, access to information and to direct community involvement needs. The trends around the world show recognition by governments that social media content may constitute records and should be managed accordingly. The literature shows that governments and organisations in other countries, particularly in Europe, have social media policies and strategies to guide the management of social media content, but there is less evidence among African countries. Thus the purpose of this paper is to examine the extent of usage of social media by the Botswana government in order to determine the necessity for the governance of liquid communication. Liquid communication here refers to the type of communication that goes easily back and forth between participants involved through social media. The ARMA principle of availability requires that where there is information governance, an organisation shall maintain its information assets in a manner that ensures their timely, efficient and accurate retrieval. The study adopted a qualitative case study approach where data were collected through documentary reviews and interviews among purposively selected employees of the Botswana government. This study revealed that the Botswana government has been actively using social media platforms to interact with its citizens since 2011 for increased access, usage and awareness of services offered by the government. Nonetheless, the study revealed that the government had no official documentation on the use of social media, and policies and strategies that dealt with the governance of liquid communication. This study recommends the governance of liquid communication to ensure timely, efficient and accurate retrieval when needed for business purposes.

How Political Candidates' Use of Facebook Relates to the Election Outcomes

2017 ◽  
Vol 59 (1) ◽  
pp. 77-96 ◽  
Author(s):  
Hsin-Chen Lin
Keyword(s):  
Social Media ◽  
Political Campaigns ◽  
Vote Share ◽  
Political Marketing ◽  
Political Candidates ◽  
The Past ◽  
Use Of Social Media ◽  
Municipal Election ◽  
Online Fans ◽  
The Relationship

This paper examines the relationship between political candidates' use of Facebook and their election outcomes (vote share and election success). The use of social media in political marketing campaigns has grown dramatically over the past few years. It is also expected to become even more critical to future political campaigns, as it creates two-way communication and engagement that stimulates and fosters candidates' relationships with their supporters. Online Facebook data were acquired for all 84 candidates running in a municipal election in Taiwan. Results suggest that a candidate's Facebook presence, the type of account they use, the authentication of the account, and the number of online fans they have are related to their election outcomes.

scholarly journals Social media mining in drug development—fundamentals and use cases

2021 ◽  
Author(s):  
Jonathan Koss ◽  
Astrid Rheinlaender ◽  
Hubert Truebel ◽  
Sabine Bohnet-Joschko
Keyword(s):  
Social Media ◽  
Drug Development ◽  
Use Cases ◽  
Social Media Mining ◽  
Media Mining

SOCIAL MEDIA MINING SHARED TASK WORKSHOP

2015 ◽  
Author(s):  
ABEED SARKER ◽  
AZADEH NIKFARJAM ◽  
GRACIELA GONZALEZ
Keyword(s):  
Social Media ◽  
Shared Task ◽  
Social Media Mining ◽  
Media Mining

Examining the boundaries of journalism in the digital age : a SEM test of digital transitions in newsrooms

2017 ◽  
Author(s):  
◽  
Yanfang Wu
Keyword(s):  
Social Media ◽  
Structural Equation ◽  
Online Survey ◽  
Business Models ◽  
Equation Model ◽  
Sem Analysis ◽  
Media Industry ◽  
Cross Sectional ◽  
News Organizations ◽  
Use Of Social Media

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] The debate about boundaries in journalism amid the rise of citizen journalism, the crisis of business models in the news industry and the use of social media in the news-gathering and dissemination process, has become a central focus in the media industry and academia. There is no doubt that the digital transition is a trend. Based on the Carlson's (2015) boundaries of journalism theory and Shoemaker and Vos' (2009) levels of analysis in the gatekeeping theory, administering a cross-sectional, self-administered questionnaire, national online survey (N=1063), conducting a Structural Equation Model (SEM) analysis, the study seeks to find out the relationships between socialization and perceptions of digital impact on journalism, journalists and news organizations. The findings showed news organizations' social media culture affects journalists' use of social media. Twitter interactivity mediates journalists' social media internalization and their attitude toward social media. However, this mediating effects does not apply to Facebook and other social media interactivity. The distinguishing line between reporters and editors is blurring in news organizations. Older journalists (age>40) are picking up social media as additional journalistic tools and developing a positive attitude toward them. However, there still may be a long way to go before old journalists become experts in social media.

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