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Keyword expansion techniques for mining social movement data on social media

Lia Bozarth, Ceren Budak
2022 EPJ Data Science  
AbstractPolitical and social scientists have been relying extensively on keywords such as hashtags to mine social movement data from social media sites, particularly Twitter.  ...  Our results guide researchers who aim to use social media keyword searches to mine data.  ...  Keywords and keyword expansion techniques The previous section shows that social movement studies commonly use predetermined keywords to mine Twitter data.  ... 
doi:10.1140/epjds/s13688-022-00343-9 fatcat:t57ounqsrzbkfopctukeumb4se

Knowledge Discovery from Large Amounts of Social Media Data

Loris Belcastro, Riccardo Cantini, Fabrizio Marozzo
2022 Applied Sciences  
As an example of the countless works in the state-of-the-art on social media analysis, this paper presents three significant applications in the field of opinion and pattern mining from social media data  ...  Large amounts of data gathered from social media are widely analyzed for extracting useful information concerning people's behaviors and interactions.  ...  Metadata Model for Social Media Data One of the main problems to solve when working with social media data is to adopt a standardized data model for representing and integrating data coming from different  ... 
doi:10.3390/app12031209 fatcat:wsbkrhpqnzgdjlomas5cxmdhtm

The Use of Social Media and Internet Data-Mining for the Tourist Industry

Krsak B, Kysela K
2016 Journal of Tourism & Hospitality  
To meet these objectives, it is imperative to apply the output of data-mining. According to Bose and Mahapatra from Hong Kong University, Data-mining may be used in three key areas of tourism, namely:  ...  Use of Data-Mining in Tourism -Google Keywords (keywords) Research on the use of social networking and information technology using data mining tools and procedures by, shows the importance of the interpretation  ...  The expansion of the Internet and information technologies provide for many relevant sources of data, such as social networks, frequency of keyword search using search engines as a marketing tool e. g.  ... 
doi:10.4172/2167-0269.1000197 fatcat:7hbduf4cezda3cyinxsg5agtp4

Bibliometrics of sentiment analysis literature

Abdalsamad Keramatfar, Hossein Amirkhani
2018 Journal of information science  
A keyword analysis demonstrates that sentiment analysis is a more accepted term than opinion mining.  ...  Twitter is the most used social network for sentiment analysis and Support Vector Machine (SVM) is the most used classification method.  ...  and review cues [57] 161 38 2012 Sentiment analysis on social media for stock movement prediction [58] 156 12 2015 Analysis and mining of online social networks: emerging trends and challenges [59  ... 
doi:10.1177/0165551518761013 fatcat:rramyaeo5bfirfmuhcikjgknia

The Construction and Trend of Feminist Literature Theory Based on Social Media Data Mining

Lanlan Cai, Xuhong Xu, Naeem Jan
2022 Mathematical Problems in Engineering  
Based on social media data mining, this study uses the Word2vec model to map the text content to a more abstract word vector space, improves the original Text Rank algorithm from three aspects, semantic  ...  Therefore, the study of Chinese women's literature can not only rely on the essentialism of western feminist literary theory but also must return to the social reality and cultural reality of China.  ...  Acknowledgments is work was supported by Fujian Social Science Planning Project: Research on the Ability Development of Fujian Private Entrepreneurs in the New Era (FJ2018B058).  ... 
doi:10.1155/2022/5791338 fatcat:4qaw7fgddjabfjrvd25dnv5i2a

Public Service Innovation Using Smart Governance

Seung Ryu, Hyun Kim, Soon Hong
2022 Journal of public policy and administration  
Therefore, the findings of this study could lay the foundation for customized public services based on intelligent citizen participation by overcoming the current limitations.  ...  The core value of smart governance is to apply IT innovations such as big data and AI to public services.  ...  on social media.  ... 
doi:10.47604/jppa.1447 fatcat:gzjxoii6u5ezpmgv3l2qojg6fq

Data mining of social manifestations in Twitter: An ETL approach focused on sentiment analysis

Marcela Yagui, Luís Maia
2017 Anais do Simpósio Brasileiro de Sistemas de Informação (SBSI)  
To this end, a data mining technique known as sentiment analysis was used with the help of the ETL (Extract, Transform and Load) methodology and the Naive Bayes probabilistic learning algorithm.  ...  The objective of this study was to analyze sentiments of users of online social network twitter to understand how people manifested toward the article published by the magazine Veja on 04-18-16 entitled  ...  Data mining in online social networks Data mining has been used in various fields of knowledge.  ... 
doi:10.5753/sbsi.2017.6019 dblp:conf/sbsi/Yagui017 fatcat:tl2omysuzzc53cuxnhuhhoj3iq

Analysis of Dental Hygienist Job Recognition Using Text Mining

Bo-Ra Kim, Eunsuk Ahn, Soo-Jeong Hwang, Soon-Jeong Jeong, Sun-Mi Kim, Ji-Hyoung Han
2021 Journal of dental hygiene science  
The messages in social big data such as social media and text messages contribute to the development of public policy by measuring public understanding and the sentiment of social issues based on the application  ...  online Q & A sections on an Internet portal site using text mining techniques.  ... 
doi:10.17135/jdhs.2021.21.1.70 fatcat:7qvxdbwncna2hlkzsvgnnx6cve

Socirank – Identifying and Ranking Prevent News Topics Using Social Media Factors

2018 International Journal of Recent Trends in Engineering and Research  
Twitter as a new form of social media can potentially contain much useful information, but content analysis on Twitter has not been well studied.  ...  Now a days, social media services such as Twitter huge amount of user-generated data, which has a great potential to contain informative news-related content, In present day times, internet based life  ...  Chen, have introduced and evaluated Keyword-based Evolving Graph Sequences [17] for event identification purposes, and demonstrated how social structure in social streams data can be utilized for event  ... 
doi:10.23883/ijrter.2018.4238.mkvd0 fatcat:mtonegibq5cgpjx5kryt44rhzq

Coarse Entrenched in Spatiotemporal, Interactive Media Eccentric Recognition

2019 International journal of recent technology and engineering  
, which depends on the harsh set theory in its lesser and upper approximations, even with data sets vulnerabilities  ...  Remote sensor devices and other ecological check frameworks can accumulate spatiotemporal data. Mixed media information can be assembled from different sound, video documents.  ...  MEDIA DATA MINING Media is defined as a multi-media mix[2 ]. The two media types are mostly static and vibrant media [5 ] . Static media includes material, images and images.  ... 
doi:10.35940/ijrte.b1500.0882s819 fatcat:wyfanj5d7jg3dit4x3tz4z7m6i

A Systematic Literature Map on Big Data

Rogério Rossi, Kechi Hirama, Eduardo Ferreira Franco
2019 Zenodo  
This work aims to provide an analytical view of the studies conducted and published regarding the Big Data paradigm.  ...  The results indicate that there is still a long way to go, both in research and in concepts, such as building and defining adequate infrastructures and standards, to meet future challenges and for the  ...  ACKNOWLEDGMENT We thank Programa de Educação Continuada em Engenharia (PECE) of Polytechnic School of University of São Paulo for supporting this work.  ... 
doi:10.5281/zenodo.3570615 fatcat:uee6cvzrsrap5kx46m5a7xgbqm

Perspective Analysis for Online Debates

S. Tikves, S. Gokalp, M. Temkit, S. Banerjee, Jieping Ye, H. Davulcu
2012 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining  
Internet and social media devices created a new public space for online debate on political and social topics.  ...  In this paper, we develop automated perspective discovery techniques which would contribute to the understanding of features (i.e. social, political, cultural, religious beliefs, goals, and practices)  ...  INTRODUCTION Internet and social media devices created a new public space for debate on political and social topics [1] , [2] .  ... 
doi:10.1109/asonam.2012.161 dblp:conf/asunam/TikvesGTBYD12 fatcat:dyaaa3vzjzfq7oicyczyh2mk3q

Online Collective Action and the Role of Social Media in Mobilizing Opinions: A Case Study on Women's Right-to-Drive Campaigns in Saudi Arabia [chapter]

Nitin Agarwal, Merlyna Lim, Rolf T. Wigand
2012 Web 2.0 Technologies and Democratic Governance  
Acknowledgments This research was funded in part by the National Science Foundation's Social-Computational Systems (SoCS) and Human Centered Computing (HCC) programs (Award Numbers: IIS-1110868 and IIS  ...  As illustrated in Fig. 7 .1, our data collection strategy focuses on social media and open data sources.  ...  We also posit that valuable information and data may be collected and mined from the ever-growing social media that is of considerable potential benefit to citizens and governments.  ... 
doi:10.1007/978-1-4614-1448-3_7 fatcat:uqmgwgbd25aqtdy3rtu34w2q7a

A Detail Survey on Predicting Stock Price Movement based on Communication Network

Shital Shiral, Harshal Torvi
2019 International Journal of Computer Applications  
This paper gives brief survey of well-known prediction techniques used for prediction of stock in the stock market.  ...  Various companies have their preferred analysis tool for stock market forecasting and the reason for preference is the accuracy with which they predict.  ...  Machine learning algorithm is applied on historical stock prices in technical analysis and in fundamental analysis sentiment analysis is applied on social media data Author believes that social media data  ... 
doi:10.5120/ijca2019919396 fatcat:jjbggzyjhrf6liysazxjfxcgpm

Social Media Response and Crisis Communications in Active Shootings during COVID-19 Pandemic

M Ahmed Rusho, Md Ashraf Ahmed, Arif Mohaimin Sadri
2021 Transportation Research Interdisciplinary Perspectives  
Firstly, social media 94 platforms are widely used, and one click away for access all over the world.  ...  This study 17 used several natural language processing and data mining approaches (such as temporal heatmaps, 18 word bigrams, and topic mining) to cluster the social media crisis communication patterns  ...  : study conception and 470 design; data collection; analysis and interpretation of results; and draft manuscript preparation.  ... 
doi:10.1016/j.trip.2021.100420 fatcat:5pgc73e35fhnpewb4iphwjjkjq
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