Visualization in media big data analysis

Qi, Yingjian; Shi, Guoliang; Yu, Xinyan; Liu, Ying

doi:10.1109/icis.2015.7166658

Cited by 14 publications

(9 citation statements)

References 1 publication

(1 reference statement)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Qi Y et al studied the visualization method of media data combined with the media information and introduces text visualization and visualization method by using geographic information [5] . Chien-Tung Ho et al designed system to show the propagation path and social graph through analyzing the degree of propagation [6] .…”

Section: Correlated Visualization Methodsmentioning

confidence: 99%

Visualization of Sina Weibo Propagation and Sentiment Analysis

Ye¹,

Tan²

2019

Proceedings of the 2019 International Conference on Computer, Network, Communication and Information Systems (CNCI 2019)

View full text Add to dashboard Cite

Propagation and sentiment get more attention in social network research, but there is no intuitive way for users to get information directly and quickly. In this paper, combing data analysis and sentiment analysis, we build a system to analyze the Sina Weibo data and provide the results in a visual way. The system is divided into six parts, mainly leading users to find the regulation between time and reposts, the key players in the process of the propagation, the main phrases of the topic and the change in sentiment. Moreover, we provide improved text visualization and tree map to represent the data after text processing. The system contributes to Weibo data analysis and public opinion monitoring.

show abstract

Section: Correlated Visualization Methodsmentioning

confidence: 99%

Visualization of Sina Weibo Propagation and Sentiment Analysis

Ye¹,

Tan²

2019

Proceedings of the 2019 International Conference on Computer, Network, Communication and Information Systems (CNCI 2019)

View full text Add to dashboard Cite

show abstract

“…Visualization was also used to obtain pattern results indicated that the spread of Dengue disease occurred on periods [6]. Furthermore, [7] provided a summary research about text visual basic framework in big data analysis with three main parts: producing visualization of the process of text analysis, visual presentation, and interaction between user and text information. One of their most referenced research is from [8], which described the basic process visualization system for text analysis and understanding of the text as shown Figure 1.…”

Section: Introductionmentioning

confidence: 99%

“…Nowadays the application of visualization technology is very widely used [7]. Available data visualizing tools in a free and open source system, such as D3.js and infoVis [17], motivate us to develop a visualization system that serves as a convenient tool for such a purpose.…”

Section: Introductionmentioning

confidence: 99%

Temporal Exploration in 2D Visualization of Emotions on Twitter Stream

et al. 2018

View full text Add to dashboard Cite

As people freely express their opinions toward a product on Twitter streams without b eing b ound b y time, visualizing time pattern of customers emotional b ehavior can play a crucial role in decisionmaking. We analyze how emotions are fluctuated in pattern and demonstrate how we can explore it into useful visualizations with an appropriate framework. We manually customized the current framework in order to improve a state-of-the-art of crawling and visualizing Twitter data. The data, post or update on status on the Twitter web site ab out iPhone, was collected from U.S.A, Japan, Indonesia, and Taiwan b y using geographical b ounding-b ox and visualized it into two-dimensional heat map, interactive stream graph, and context focus via b rushing visualization. The results show that our proposed system can explore uniqueness of temporal pattern of customers emotional b ehavior.

show abstract

“…It offers a visual system for humans to understand and explore the dataset. Visualization technology, originated from scientific computational visualization that appeared in the 1980s, assists individuals to observe, browse, discriminate, and understand information [13]. Visualization becomes both an art and a science that generate images or/and visual representations from large datasets [10,3,13].…”

Section: Introductionmentioning

confidence: 99%

A mobile visualization platform for exploring social media data

Tong¹,

Bakan²

2016

gjit

View full text Add to dashboard Cite

With the increasing application of using mobile device and social media, large amount of continuous information about human behaviors is available. Data visualization provides an insightful presentation for the large-scale social media datasets. The focus of this paper is on the development of a mobile-device based visualization and analysis platform for social media data for the purpose of retrieving and visualizing visitors’ information for a specific region. This developed platform allows users to view the “big picture” of the visitors’ locations information. The result shows that the developed platform 1) performs a satisfied data collection and data visualization on a mobile device, 2) assists users to understand the varieties of human behaviors while visiting a place, and 3) offers a feasible role in imaging immediate information from social media and leading to further policy-making in related sectors and areas. Future research opportunities and challenges for social media data visualization are discussed.Keywords: Social media, data visualization, mobile device

show abstract

Visualization in media big data analysis

Cited by 14 publications

References 1 publication

Visualization of Sina Weibo Propagation and Sentiment Analysis

Visualization of Sina Weibo Propagation and Sentiment Analysis

Temporal Exploration in 2D Visualization of Emotions on Twitter Stream

A mobile visualization platform for exploring social media data

Contact Info

Product

Resources

About