scholarly journals A CASE STUDY ON DELHI MCD ELECTION PREDICTION USING SOCIAL MEDIA ANALYTICS

2018 ◽  
Vol 9 (1) ◽  
pp. 842-846
Author(s):  
Neetu Narwal ◽  
Keyword(s):  
Social Media ◽  
Social Media Analytics ◽  
Election Prediction

scholarly journals Social Media Analytics: A Case Study of Singapore General Election 2020

2020 ◽  
Author(s):  
Sebastian Zhi Tao Khoo ◽  
Leong Hock Ho ◽  
Ee Hong Lee ◽  
Danston Kheng Boon Goh ◽  
Zehao Zhang ◽  
...  
Keyword(s):  
Social Media ◽  
General Election ◽  
Social Media Analytics

Deep Learning in Social Media Analysis

2021 ◽  
pp. 164-194
Author(s):  
Vaishali Yogesh Baviskar ◽  
Rachna Yogesh Sable
Keyword(s):  
Social Media ◽  
Deep Learning ◽  
Media Analysis ◽  
Network Services ◽  
Social Media Analytics ◽  
Learning Approaches ◽  
Election Result ◽  
The Social ◽  
Social Network Services

Social media analytics keep on collecting the information from different media platforms and then calculating the statistical data. Twitter is one of the social network services which has ample amount of data where many users used post significant amounts of data on a regular basis. Handling such a large amount of data using traditional tools and technologies is very complicated. One of the solutions to this problem is the use of machine learning and deep learning approaches. In this chapter, the authors present a case study showing the use of Twitter data for predicting the election result of the political parties.

Application of social media analytics: a case of analyzing online hotel reviews

2017 ◽  
Vol 41 (7) ◽  
pp. 921-935 ◽  
Author(s):  
Wu He ◽  
Xin Tian ◽  
Ran Tao ◽  
Weidong Zhang ◽  
Gongjun Yan ◽  
...  
Keyword(s):  
Social Media ◽  
Text Mining ◽  
Social Media Analytics ◽  
Social Media Data ◽  
Content Type ◽  
Customer Reviews ◽  
Analysis Techniques ◽  
Online Customer Reviews ◽  
Media Data

Purpose Online customer reviews could shed light into their experience, opinions, feelings, and concerns. To gain valuable knowledge about customers, it becomes increasingly important for businesses to collect, monitor, analyze, summarize, and visualize online customer reviews posted on social media platforms such as online forums. However, analyzing social media data is challenging due to the vast increase of social media data. The purpose of this paper is to present an approach of using natural language preprocessing, text mining and sentiment analysis techniques to analyze online customer reviews related to various hotels through a case study. Design/methodology/approach This paper presents a tested approach of using natural language preprocessing, text mining, and sentiment analysis techniques to analyze online textual content. The value of the proposed approach was demonstrated through a case study using online hotel reviews. Findings The study found that the overall review star rating correlates pretty well with the sentiment scores for both the title and the full content of the online customer review. The case study also revealed that both extremely satisfied and extremely dissatisfied hotel customers share a common interest in the five categories: food, location, rooms, service, and staff. Originality/value This study analyzed the online reviews from English-speaking hotel customers in China to understand their preferred hotel attributes, main concerns or demands. This study also provides a feasible approach and a case study as an example to help enterprises more effectively apply social media analytics in practice.

Measuring and comparing service quality metrics through social media analytics: a case study

2017 ◽  
Vol 16 (3) ◽  
pp. 579-600 ◽  
Author(s):  
Wu He ◽  
Xin Tian ◽  
Andy Hung ◽  
Vasudeva Akula ◽  
Weidong Zhang
Keyword(s):  
Social Media ◽  
Service Quality ◽  
Quality Metrics ◽  
Social Media Analytics

Applying Data Analytics to Social Media Advertising: A Twitter Advertising Campaign Case Study

2017 ◽  
Vol 21 (1) ◽  
pp. 26-32 ◽  
Author(s):  
Shanshan Lou
Keyword(s):  
Social Media ◽  
Data Analytics ◽  
Secondary Data ◽  
Research Direction ◽  
Future Research ◽  
Social Media Analytics ◽  
Advertising Campaign ◽  
Social Media Advertising

This paper presents a class case study of an assignment that asked students to use a Twitter follower report to design a Twitter advertising campaign. The purpose of this case study is to immerse students in a real social media environment and help them become familiar with analyzing social media data to develop advertising campaigns. Students' interview responses suggest that incorporating a project that requires social media analytics techniques in an advertising class can help them better understand the role of secondary research and database analysis in developing consumer profiles and making campaign decisions. The findings also suggest that students have a strong desire to work with secondary data in designing social media advertising campaigns. The advantages of data analytics should be further explored in advertising campaign classes to help students become successful campaign designers. Limitations and future research direction are also discussed.

Gaining competitive intelligence from social media data

2015 ◽  
Vol 115 (9) ◽  
pp. 1622-1636 ◽  
Author(s):  
Wu He ◽  
Jiancheng Shen ◽  
Xin Tian ◽  
Yaohang Li ◽  
Vasudeva Akula ◽  
...  
Keyword(s):  
Social Media ◽  
Business Value ◽  
Competitive Intelligence ◽  
Social Media Analytics ◽  
Data Set ◽  
Social Media Data ◽  
Content Type ◽  
Study Results ◽  
Media Data

Purpose – Social media analytics uses data mining platforms, tools and analytics techniques to collect, monitor and analyze massive amounts of social media data to extract useful patterns, gain insight into market requirements and enhance business intelligence. The purpose of this paper is to propose a framework for social media competitive intelligence to enhance business value and market intelligence. Design/methodology/approach – The authors conducted a case study to collect and analyze a data set with nearly half million tweets related to two largest retail chains in the world: Walmart and Costco in the past three months during December 1, 2014-February 28, 2015. Findings – The results of the case study revealed the value of analyzing social media mentions and conducting sentiment analysis and comparison on individual product level. In addition to analyzing the social media data-at-rest, the proposed framework and the case study results also indicate that there is a strong need for creating a social media data application that can conduct real-time social media competitive intelligence for social media data-in-motion. Originality/value – So far there is little research to guide businesses for social media competitive intelligence. This paper proposes a novel framework for social media competitive intelligence to illustrate how organizations can leverage social media analytics to enhance business value through a case study.

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