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Analysis of Mining Social Media – A Learners Perspective

2020 International journal for research in engineering application & management  
which will help the researchers how the social media, social networking websites structurally classified, studies the existing data mining techniques along with the performance metrics used in past researches  ...  In the world of digitalization the data play a key role. The data may be in structured or unstructured.  ...  In addition to social network extraction, there are other measurements that can be used for social network analysis as well.  ... 
doi:10.35291/2454-9150.2020.0017 fatcat:kt2w2rhk7jbp3mdbdytc2bj3km

Analysis and detection of low quality information in social networks

De Wang
2014 2014 IEEE 30th International Conference on Data Engineering Workshops  
My PhD thesis work focuses on the analysis and detection of low quality information in social networks.  ...  With social networks like Facebook, Twitter and Google+ attracting audiences of millions of users, they have been an important communication platform in daily life.  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation or other funding  ... 
doi:10.1109/icdew.2014.6818354 dblp:conf/icde/Wang14 fatcat:4gjrbwesubguvetpz25cdnpmmy

Using the SPENCE Model of Online/Offline Community to Analyse Sociality of Social Machines

Caroline A. Halcrow, Leslie Carr, Susan Halford
2016 Proceedings of the 25th International Conference Companion on World Wide Web - WWW '16 Companion  
in current Twitter research.  ...  Twitter is a technical infrastructure and social network of shared online/offline community phenomena that is also a social machine combining social participation with conventional forms of machine-based  ...  Network) exhibit 'some level of homophily', i.e Proximity. Murthy [24] has a focus on the follower/followed relationship in Twitter.  ... 
doi:10.1145/2872518.2890596 dblp:conf/www/HalcrowCH16 fatcat:iinv24olsbd73aefpwpc5mtfce

Exploring Twitter Interactions through Visualization Techniques: Users Impressions and New Possibilities [chapter]

Guilherme Coletto Rotta, Vinícius Silva de Lemos, Ana Luiza Moura da Cunha, Isabel Harb Manssour, Milene Selbach Silveira, André Fagundes Pase
2013 Lecture Notes in Computer Science  
Social networking websites have been taking a huge space on the Internet.  ...  With millions of members spread across the world, these services connect their users through "friendship" relations, and within a short period of time the information is disseminated in the network.  ...  For example, through the social networking visualization I can see who are the followers in common among my followers, it helps me follow relevant people in my twitter".  ... 
doi:10.1007/978-3-642-40477-1_48 fatcat:6quzrs4j2jeevc2qcp2yddjzzi

Twitter classification model: the ABC of two million fitness tweets

Theodore A Vickey, Kathleen Martin Ginis, Maciej Dabrowski, John G Breslin
2013 Translational Behavioral Medicine  
Research: This study provides a research opportunity between health and exercise science and social networking/social software disciplines.  ...  Implications Practice: The fitness tweet classification model can be used by researchers to better understand and classify fitness information collected via Twitter.  ...  not need to be connected through existing "follower" networks [9] .  ... 
doi:10.1007/s13142-013-0209-0 pmid:24073182 pmcid:PMC3771015 fatcat:l5et376hnvhaxdnky4g34udq2i

Analysis of Indonesia Politics Polarization before 2019 President Election Using Sentiment Analysis and Social Network Analysis

Mohammad Nur Habibi, Department of Informatics,Widyatama University Bandung, Indonesia, Sunjana
2019 International Journal of Modern Education and Computer Science  
The method used in this research is sentiment analysis using naï ve bayes classifier and social network analysis using the calculation of network attribute values and centrality values. 8.814 Twitter data  ...  The development of the Internet in Indonesia is quite rapid, it is marked by the increasing use of social networks, especially Twitter.  ...  Preprocessing for Social Network Analysis In this process we use twecoll for fetching data from Twitter. Twecoll is a Twitter command-line tool written in Python.  ... 
doi:10.5815/ijmecs.2019.11.04 fatcat:qu4wqzn6zrhvddhhgiip4diu5i

Emotion-Based Content Personalization in Social Networks

Anthoniraj Amalanathan, Uffe Kock Wiil
2018 Journal of Information and Organizational Sciences  
Thus, this paper presents a model that determine the emotions shared in the content of a social network page by the user.  ...  To avoid unwanted information from a particular user in current social networks, the user needs to be denied accessibility by blocking them.  ...  The following sections highlight some investigations focusing on associating emotions and social networks especially in Facebook and Twitter.  ... 
doi:10.31341/jios.42.1.1 fatcat:t56v6w667vcfjoflqleesfsi5e

Survey on designing framework for analyzing twitter spammers using forensic method

Ankita M. Ghate, L. G. Malik
2015 2015 International Conference on Pervasive Computing (ICPC)  
Users pay a good deal of your time on known social networks(e.g.Facebook,Twitter, SinaWeibo, etc.), reading news, discussing events and posting their message.  ...  of users, etc.), resulting in nice inconvenience on traditional users' social activities.  ...  This study aimed to find out how spam accounts operate not only in Twitter, but also two other major social network sites Facebook and Myspace. Wang et al.  ... 
doi:10.1109/pervasive.2015.7087158 fatcat:lgrdtk5fzjccvjoqrkfetrtozm

Opinion Mining of Real Time Twitter Tweets

Akash Shrivatava, Shweta Mayor, Bhasker Pant
2014 International Journal of Computer Applications  
Twitter is a real-time information network and microblogging service that allows users to post updates.  ...  The results further evaluated and concluded to infer the performance of the classification through SVM.  ...  Social networking websites are the epoch of expressing views.  ... 
doi:10.5120/17630-0691 fatcat:uabcyf6h2zaptlt36vgmoeeaqi

Detecting Spam Messages in Twitter Data by Machine learning Algorithms using Cross Validation

Social media networking sites like Twitter, Facebook, LinkedIn etc are available in the communication environment.  ...  To maintain in association, sharing ideas, exchange knowledge between we use social media networking sites.  ...  Twitter is one of the most microblogging services in social media networking site with large number of users who interact to each other through this network.  ... 
doi:10.35940/ijitee.k1913.1081219 fatcat:3rogvu5fafcmndlxrntnynu4ce

Understanding Service Integration of Online Social Networks: A Data-Driven Study [article]

Fei Li, Yang Chen, Rong Xie, Fehmi Ben Abdesslem, Anders Lindgren
2018 arXiv   pre-print
We conduct a thorough analysis on its social graph, and find that the service integration brought by the cross-site linking function is able to change Medium's social graph structure and attract a large  ...  To solve this problem, we build a machine-learning-based model to predict high PageRank users in Medium based on their Twitter data only.  ...  We analyze the Medium social graph by using Stanford Network Analysis Project (SNAP) library [10] as shown in Table I .  ... 
arXiv:1711.11484v3 fatcat:lxxrj5zwibd2tmdlzxur5eeeam

Classification of AI Powered Social Bots on Twitter by Sentiment Analysis and Data Mining through SVM

Abu Foysal, Safat Islam, Touhidur Rahaman
2019 International Journal of Computer Applications  
in social engineering.  ...  In this paper, the behavior of twitter bots and their influence on the social media is investigated.  ...  One of the most popular social networks is Twitter.  ... 
doi:10.5120/ijca2019919701 fatcat:troqaah6y5gtzkknhupfi2n7uu

Modeling ReTweet Diffusion Using Emotional Content [chapter]

Andreas Kanavos, Isidoros Perikos, Pantelis Vikatos, Ioannis Hatzilygeroudis, Christos Makris, Athanasios Tsakalidis
2014 IFIP Advances in Information and Communication Technology  
The classification model is intended as a tool for sponsors and people of marketing to specify the tweets that spread more in Twitter network.  ...  In following, our model predicts the category of ReTweeting diffusion. The model was trained and validated with real data crawled by Twitter.  ...  Related Work The spread of Twitter and other social networks has attracted significant interest in sentiment analysis methods for recognizing textual opinions, statement polarity and emotions.  ... 
doi:10.1007/978-3-662-44654-6_10 fatcat:hkcwxlvsybhtdfkyeiwtgoixrq

Customer Satisfaction Measurement using Sentiment Analysis

Shaha Al-Otaibi, Allulo Alnassar, Asma Alshahrani, Amany Al-Mubarak, Sara Albugami, Nada Almutiri, Aisha Albugami
2018 International Journal of Advanced Computer Science and Applications  
In this article, we used Twitter data to get insight from public opinion hidden in data.  ...  While companies look for a simple way with a large number of responses, social media platforms like Twitter can allow them to do just that.  ...  Isaac presented a survey of different social network analysis techniques employed in many applications interpreting social media data, e.g. Twitter.  ... 
doi:10.14569/ijacsa.2018.090216 fatcat:fxxm4ftcuzf3zhgywjztjfecii

SVM-based sentiment classification: a comparative study against state-of-the-art classifiers

Dionisios N. Sotiropoulos, Demitrios E. Pournarakis, George M. Giaglis
2017 International Journal of Computational Intelligence Studies  
In this paper, we address the pattern classification problem of sentiment analysis through the utilisation of support vector machines (SVMs).  ...  pattern classification problem of sentiment analysis, especially within the context of the Greek language.  ...  for social media analysis.  ... 
doi:10.1504/ijcistudies.2017.086063 fatcat:e5kntbcq4jgfpee6bkd7myvkvm
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