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Snap, Tweet and Post: College Student Social Media Perceptions and Heutagogic Practices and Uses

Louis S. Nadelson, William Berg, Brandon Fox, Preston Grandbouche, Michael Harris, Tia Leray Kroschel, Sean Sandoval
2017 International Journal of Higher Education  
The conditions of social media interactions present an opportunity for self-determined learning, or heutagogy.  ...  Our results reveal students do self-determine their engagement with social media and will also self-determine the norms they use for engagement.  ...  The third major limitation of our research was the nature of our data collection, which was a combination of qualitative and quantitative data, were collected using a survey.  ... 
doi:10.5430/ijhe.v6n4p11 fatcat:df4ktx4qlfcpjgiuw77tqfbhhy

Survey: Sentiment Analysis of Twitter Data for Stock Market Prediction

Rupawari Jadhav, Wakode M. S.
2017 IJARCCE  
News article and social media can affect the stock market. The Twitter is one of the most useful social media that can help to predict public mood.  ...  The predicted mood and previous day value are useful for predicting stock market price. This paper discusses the prediction of the future stock market with help of sentiment score.  ...  Twitter messages are retrieved in real time using Twitter Streaming API.  ... 
doi:10.17148/ijarcce.2017.63129 fatcat:5kdizjafwrfg5njrqcme2wczja

A Review of Sentiment Analysis in Twitter Data Using Hadoop

L. Jaba Sheela
2016 International Journal of Database Theory and Application  
Twitter is an online social networking site which contains rich amount of data that can be a structured, semi-structured and un-structured data.  ...  To improve its scalability and efficiency, it is proposed to implement the work on Hadoop Ecosystem, a widely-adopted distributed processing platform using the Map Reduce parallel processing paradigm.  ...  Development Environment Data Streaming Extracting real time tweets using Twitter Streaming API For classification and training the classifier we need Twitter data.  ... 
doi:10.14257/ijdta.2016.9.1.07 fatcat:vb5myxmhwrhoro2575z37oxqje

Analysis of Opinion Mining on Social Media Data Streams using Hadoop

Padala S., Archana Raghuvamshi
2016 International Journal of Computer Applications  
Twitter is a social networking site in which the data to be processed is in rich amounts and which can be structured, semi-structured and unstructured data streams.  ...  All these approaches say about the real-world data sets at its accuracy level by using Hadoop File System. This paper analyses all the above methods comparatively.  ...  Twitter tweets are retrieved in real time using Twitter Streaming API [10] . Tweets were collected periodically which contains a specific company name or its hashtags.  ... 
doi:10.5120/ijca2016912336 fatcat:ewpsa5fsrvhbjosl6kat4hf7k4

What's Happening Around the World? A Survey and Framework on Event Detection Techniques on Twitter

Zafar Saeed, Rabeeh Ayaz Abbasi, Onaiza Maqbool, Abida Sadaf, Imran Razzak, Ali Daud, Naif Radi Aljohani, Guandong Xu
2019 Journal of Grid Computing  
It explores recent research trends and techniques for event detection using Twitter data.  ...  We propose a framework called EDoT based on the research trends, common practices, and techniques used for detecting events on Twitter.  ...  Specified Event Detection (SED) A variety of text analysis and machine learning techniques are designed to analyze Twitter data stream [13] .  ... 
doi:10.1007/s10723-019-09482-2 fatcat:lypwnpnmonb3laa3koftllchby

Knowledge Discovery from Social Graph Data

Peter Braun, Alfredo Cuzzocrea, Carson K. Leung, Adam G.M. Pazdor, Kimberly Tran
2016 Procedia Computer Science  
Over the past few years, several systems and applications have developed to use cluster, cloud or grid computing to manage and analyze big data so as to support data science (e.g., knowledge discovery  ...  In the current era of big data, many traditional data management and analytic approaches may not be suitable for handling the big data due to their well-known 5V's characteristics.  ...  Acknowledgment This project is partially supported by Natural Sciences and Engineering Research Council of Canada (NSERC) and the University of Manitoba.  ... 
doi:10.1016/j.procs.2016.08.250 fatcat:ngskvezw4vhkhgdnmjxezvueje

Sentiment and Emotion Analysis for Context Sensitive Information Retrieval of Social Networking Sites: A Survey

D. I.GeorgeAmalarethinam, V. Jude Nirmal
2014 International Journal of Computer Applications  
With big data becoming ubiquitous due to the volume, velocity and variety of data being presented and analysed in almost all the domains today, context sensitive analysis and interpretation of big data  ...  This paper presents a comprehensive survey of the existing techniques for big data analysis based on massively parallel processing techniques like GPGPUs (CUDA), Hadoop Map-Reduce and also Data Warehousing  ...  Need to analyze the nature of content in that context and make decisions which involve semantics and machine learning.  ... 
doi:10.5120/17565-8194 fatcat:hylpsotytrgbhmcsipz4tdg2sa

Event-Radar: Real-time Local Event Detection System for Geo-Tagged Tweet Streams [article]

Sibo Zhang, Yuan Cheng, Deyuan Ke
2017 arXiv   pre-print
The local event detection is to use posting messages with geotags on social networks to reveal the related ongoing events and their locations.  ...  We use the preliminary research GeoBurst as a starting point, which proposed a novel method to detect local events.  ...  In what follows, we describe embedding learning and activity timeline construction and then present the classier. 3.2.1 Learning Embeddings from the Stream.  ... 
arXiv:1708.05878v2 fatcat:xbbluu3sg5b2dhe4zlkbfsmbme

An Analytical Study on Cerebral State Induced by Changes in Auditory Stimulation

Jeong-Hoon Shin
2017 International Journal of Advanced Science and Technology  
This paper explain how Social Media Analytics which is one of the big data analytics can be harnessed and tool to generate intelligence gathering of the activities of the terrorists or terrorist' groups  ...  such as membership, motivation, and operational modalities, foreclosing sources of inspiration, funding and recruitment through analysis of social media such as youtube, twitter, istagram, facebook among  ...  According to [6] , Boko Haram Twitter account has streamed several videos to show the public its success on the ground.  ... 
doi:10.14257/ijast.2017.108.03 fatcat:xf32npzvk5fhzp2cjhhhxzbqxi

Seeing the smart city on Twitter: Colour and the affective territories of becoming smart

Gillian Rose, Alistair Willis
2018 Environment & Planning. D, Society and Space  
The paper identifies these territorialisations in two ways: firstly, by using the data visualisation software ImagePlot to create a visualisation of 9030 tweeted images related to smart cities; and secondly  ...  This paper pays attention to the immense and febrile field of digital image files which picture the smart city as they circulate on the social media platform Twitter.  ...  Acknowledgements The ideas underlying this paper were first aired by the first author at the University of Pretoria in 2016, when she was a Paul W Mellon Distinguished Visiting Scholar in the Department  ... 
doi:10.1177/0263775818771080 fatcat:diuhr7bmr5hstjqmbyj7r46yvy

A Streaming Machine Learning Framework for Online Aggression Detection on Twitter [article]

Herodotos Herodotou and Despoina Chatzakou and Nicolas Kourtellis
2020 arXiv   pre-print
In this work, we introduce the first, practical, real-time framework for detecting aggression on Twitter via embracing the streaming machine learning paradigm.  ...  At the same time, our experimental analysis on real Twitter data reveals how our framework can easily scale to accommodate the entire Twitter Firehose (of 778 million tweets per day) with only 3 commodity  ...  The paper reflects only the authors' views and the Commission is not responsible for any use that may be made of the information it contains.  ... 
arXiv:2006.10104v2 fatcat:s4oujtejpvbpjcx5mzlshrvzpi

Attribute Driven Temporal Active Online Community Search

Badhan Chandra Das, Md. Musfique Anwar, Md. Al-Amin Bhuiyan, Iqbal H. Sarker, Salem A. Alyami, Mohammad Ali Moni
2021 IEEE Access  
First, the pre-processing is performed to eliminate irrelevant data or noises from the activity stream S.  ...  We apply this BERTopic approach on our Twitter dataset (CRAWL and SNAP) to get the topics to which the tweets are corresponding to.  ... 
doi:10.1109/access.2021.3093368 fatcat:n5v2sdryufayhhvhbee3jsovri

Discovering collection and analysis techniques for social media to improve public safety

Nicky Antonius, L. Rich
2013 The International Technology Management Review  
The use of social media for contemporary knowledge management is growing. Success stories range from the fields of marketing to emergency disaster management.  ...  This article outlines a case study of the presence of outlaw motorcycle clubs on Twitter and explores several collection and analysis techniques that can be applied to generate insights for social media  ...  Data Collection Twitter is widely used by corporations and public figures to communicate with their constituents; the OMCs and their supporters are no different.  ... 
doi:10.2991/itmr.2013.3.1.4 fatcat:qfidxb24tzcgbn4zpwuybw7uwm

Innovation and SDGs through Social Media Analysis: Messages from FinTech Firms

José Nicanor Franco-Riquelme, Luis Rubalcaba
2021 Journal of Open Innovation: Technology, Market and Complexity  
This paper aims to assess the Sustainable Development Goals (SDGs) and open innovation integrated within the public discourse in the social media of FinTech firms, using machine-learning-based social media  ...  Accordingly, we tracked the behavior of 21 firms based on the empirical material of 32,716 posts on Twitter. The outcomes showed dissimilar discourses based on FinTech firms' activities.  ...  Acknowledgments: The authors want to thank the valuable collaboration of Joaquín Ordieres-Meré and Isaac Lemus-Aguilar in the initial stage of this work.  ... 
doi:10.3390/joitmc7030165 fatcat:6lji5qc7pve3vplfrgis2zutoy

Towards Accurate Simulation of Global Challenges on Data Centers Infrastructures via Coupling of Models and Data Sources [chapter]

Sergiy Gogolenko, Derek Groen, Diana Suleimenova, Imran Mahmood, Marcin Lawenda, F. Javier Nieto de Santos, John Hanley, Milana Vučković, Mark Kröll, Bernhard Geiger, Robert Elsässer, Dennis Hoppe
2020 Lecture Notes in Computer Science  
Being intended to reflect current and upcoming situation for policy-making, GC simulations extensively use recent streaming data coming from external data sources, which requires changing traditional HPC  ...  These simulations bring together not only different models, but also various sources of massive static and streaming data sets.  ...  The authors would like to thank Dr. M. Gienger and Prof. Z. Horváth from the University of Györ for sharing their invaluable thoughts which influenced our project.  ... 
doi:10.1007/978-3-030-50433-5_32 fatcat:mboeislt2fchpofvgs4y45nx5i
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