TITLE

Text Mining and Visualization of Papers Reviews Using R Language

AUTHOR(S)
Jiapei Li; Seong Yoon Shin; Hyun Chang Lee
PUB. DATE
September 2017
SOURCE
Journal of Information & Communication Convergence Engineering;Sep2017, Vol. 15 Issue 3, p170
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Nowadays, people share and discuss scientific papers on social media such as the Web 2.0, big data, online forums, blogs, Twitter, Facebook and scholar community, etc. In addition to a variety of metrics such as numbers of citation, download, recommendation, etc., paper review text is also one of the effective resources for the study of scientific impact. The social media tools improve the research process: recording a series online scholarly behaviors. This paper aims to research the huge amount of paper reviews which have generated in the social media platforms to explore the implicit information about research papers. We implemented and shown the result of text mining on review texts using R language. And we found that Zika virus was the research hotspot and association research methods were widely used in 2016. We also mined the news review about one paper and derived the public opinion.
ACCESSION #
125530891

 

Related Articles

  • Four Ways of Looking at Twitter. Berinato, Scott // Harvard Business Review Digital Articles;2/18/2010, p2 

    The article discusses four ways of presenting data at social media platform Twitter and the usefulness of data visualization in the online community of programmers, designers, artists and statisticians.

  • An Analysis of User Attitudes to SNS. Aburai, Tsuyoshi; Yasuo Ishii; Kazuhiro Takeyasu // International Business Research;May2013, Vol. 6 Issue 5, p69 

    Twitter being the most popular. These are used in various fields of life together with the convenient devices such as smart-phones. A questionnaire investigation was used to clarify the current usage condition, issues and desired function etc. Information for marketing purposes was then...

  • Effective Listings of Function Stop words for Twitter. Choy, Murphy // International Journal of Advanced Computer Science & Application;Jun2012, Vol. 3 Issue 6, p8 

    Many words in documents recur very frequently but are essentially meaningless as they are used to join words together in a sentence. It is commonly understood that stop words do not contribute to the context or content of textual documents. Due to their high frequency of occurrence, their...

  • MB-ToT: An Effective Model for Topic Mining in Microblogs. Shaopeng Liu; Jian Yin; Jia Ouyang; Yun Huang; Piyuan Lin // Applied Mathematics & Information Sciences;2014, Vol. 8 Issue 1, p299 

    Topic mining on microblogging sites with sheer scale of instance messages and social network information, such as Twitter, is a hard and challenging problem. Although many text mining techniques and generative probabilistic models have been developed for static plain-text corpus, they are...

  • A Survey of Web Information Extraction Tools. Negm, Noha; ElKafrawy, Passent; Salem, Abdel Badea // International Journal of Computer Applications;Apr2012, Vol. 43, p19 

    The access to huge amount of information sources on the internet has been limited to browsing and searching due to the heterogeneity and the lack of structure of the web information sources. This has resulted in the need for automated Web Information Extraction (IE) tools that analyze the Web...

  • Applying Ontologies for Web Text Mining Using Heterogeneous Information. Suarez Barón, Marco Javier; Salinas Valencia, Kathleen Eliana; Cifuentes García, Carlos Andrés; Suárez Barón, Juan Carlos // International Journal of Information Processing & Management;Nov2014, Vol. 5 Issue 4, p18 

    Text mining is an effective means for the detection of potentially useful knowledge in large text documents. In this paper we apply an algorithm based on rules, together with traditional text mining technology, which cannot understand text semantics from the web through deductive rules via the...

  • Geographic Situational Awareness: Mining Tweets for Disaster Preparedness, Emergency Response, Impact, and Recovery. Qunying Huang; Yu Xiao // ISPRS International Journal of Geo-Information;2015, Vol. 4 Issue 3, p1549 

    Social media data have emerged as a new source for detecting and monitoring disaster events. A number of recent studies have suggested that social media data streams can be used to mine actionable data for emergency response and relief operation. However, no effort has been made to classify...

  • SOCIAL DATA VISUALIZATION SYSTEM FOR UNDERSTANDING DIFFUSION PATTERNS ON TWITTER: A CASE STUDY ON KOREAN ENTERPRISES. Dosam HWANG; Jai E. JUNG; Seungbo PARK; Hien T. NGUYEN // Computing & Informatics;2014, Vol. 33 Issue 3, p291 

    Online social media have been playing an important role of creating and diffusing information to many users. It means the users can get cognitive influence to the other users. Thus, it is important to understand how the information can be diffused by interactions among users through online...

  • Visual.ly: Visual social media reports. Deas, Kimberly // Office Technology Today;Jan2015, Vol. 6 Issue 1, p2 

    The article offers information on the online tools from Visual.ly for creating visual reports for social media Facebook, comparing accounts of social media Twitter and choosing a hashtag and creating its visual representation.

  • Collection and Visualization of Dietary Behavior and Reasons for Eating Using Twitter. Hingle, Melanie; Yoon, Donella; Fowler, Joseph; Kobourov, Stephen; Schneider, Michael Lee; Falk, Daniel; Burd, Randy // Journal of Medical Internet Research;Jun2013, Vol. 15 Issue 6, p1 

    Background: Increasing an individual's awareness and understanding of their dietary habits and reasons for eating may help facilitate positive dietary changes. Mobile technologies allow individuals to record diet-related behavior in real time from any location; however, the most popular software...

Share

Read the Article

Courtesy of THE LIBRARY OF VIRGINIA

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics