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Text Analytics in Social Media [chapter]

Xia Hu, Huan Liu
2012 Mining Text Data  
We next discuss the research progress of applying text analytics in social media from different perspectives, and show how to improve existing approaches to text representation in social media, using real-world  ...  With the large amount of data produced by various social media services, text analytics provides an effective way to meet usres' diverse information needs.  ...  The authors would like to acknowledge all of the researchers in Arizona State University's Data Mining and Machine Learning Laboratory.  ... 
doi:10.1007/978-1-4614-3223-4_12 fatcat:ynmfabrhpjf6vils663o3rs2za

Social Networking Analysis: A State of the Art and the Effect of Semantics

Charalampos Chelmis, Viktor K. Prasanna
2011 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing  
The purpose is to increase awareness of the social networking analysis community about different ongoing efforts, which not only focus on the network aspect of social networks, shed some light into different  ...  approaches and advance the discussion about potential future directions.  ...  ACKNOWLEDGMENT This work is supported by Chevron Corp. under the joint project, Center for Interactive Smart Oilfield Technologies (CiSoft), at the University of Southern California.  ... 
doi:10.1109/passat/socialcom.2011.23 dblp:conf/socialcom/ChelmisP11 fatcat:jbvf6jizcjh5jbtfj2un4hqtki

Complex modeling and analysis of workplace collaboration data

Charalampos Chelmis
2013 2013 International Conference on Collaboration Technologies and Systems (CTS)  
from human activities, at both micro (i.e. individual) and macro (i.e. community) level.  ...  The vast scale (Big-data) of online human interactions impose certain challenges, such as scalable indexing and efficient retrieval of social data, which are by their nature intertwined in multiple dimensions  ...  We introduce a novel social graph representation, shown in Figure 1 , which not only contains social links between users but also maintains integrated information regarding users dynamically changing  ... 
doi:10.1109/cts.2013.6567289 dblp:conf/cts/Chelmis13 fatcat:5qf6cfutkjfnrm7re6rvb6tzoi

Microblog-genre noise and impact on semantic annotation accuracy

Leon Derczynski, Diana Maynard, Niraj Aswani, Kalina Bontcheva
2013 Proceedings of the 24th ACM Conference on Hypertext and Social Media - HT '13  
Using semantic technologies for mining and intelligent information access to microblogs is a challenging, emerging research area.  ...  This paper presents a characterisation of genre-specific problems at each semantic annotation stage and the impact on subsequent stages.  ...  These lead to evidence-based suggestions for future research directions towards improved semantic annotation of microblog text.  ... 
doi:10.1145/2481492.2481495 dblp:conf/ht/DerczynskiMAB13 fatcat:lrclf4a2zzcdth7cdvxchxnd54

Efficient Deep Learning Approach for Dimensionality Reduction using Micro blogs from Big data

Mr. M. Vengateshwaran
2017 International Journal for Research in Applied Science and Engineering Technology  
To improve the result of dimensionality reduction, we take advantage of the semantic similarity derived from two types of micro blog specific information, namely the retweet relationship and hash tags.  ...  In this project, we apply deep learning networks to map the high-dimensional representations of micro blog texts to low-dimensional representations.  ...  Enriching Short Text Representation in Liu Social media websites allow users to exchange short texts such as Tweets in microblogging, user status in friendship networks.  ... 
doi:10.22214/ijraset.2017.3002 fatcat:phaqfjnacvajheketlhh5h5bve

Temporal web dynamics and its application to information retrieval

Kira Radinsky, Fernando Diaz, Susan Dumais, Milad Shokouhi, Anlei Dong, Yi Chang
2013 Proceedings of the sixth ACM international conference on Web search and data mining - WSDM '13  
.  Operators for manipulating streams of interest  Filter  Link  Visualize E. Adar, M. Dontcheva, J. Fogarty and D. Weld. Zoetrope: Interacting with the ephemeral web.  ...  from query stream  Future Event Retrieval from social media  Temporal Summarization  Single Timeline  Multiple Timeline  A directional relation between two text fragments: Text (t) and Hypothesis  ...  Learning causality for news events prediction, Ontology -Linked data http://www.linkeddata.org Afghan troops were killed" Goal: For each candidate term evaluate the probability of it to appear in the future  ... 
doi:10.1145/2433396.2433500 dblp:conf/wsdm/RadinskyDDSDC13 fatcat:v3r5yqpnwjcezm35ux4v5eiyse

Small Survey Event Detection [article]

Debanjan Datta
2020 arXiv   pre-print
Representation learning on graphs, rumor detection and multimodal techniques may be explored in future as well.  ...  Terms are extracted from the documents, and the time series of their counts are calculated at the finest spatial and temporal scales.  ... 
arXiv:2011.05801v1 fatcat:xah4zzcotzfp5eadksvlqxed34

Automatic Rumor Detection on Microblogs: A Survey [article]

Juan Cao, Junbo Guo, Xirong Li, Zhiwei Jin, Han Guo, Jintao Li
2018 arXiv   pre-print
Many efforts have been taken to defeat online rumors automatically by mining the rich content provided on the open network with machine learning techniques.  ...  While the openness and convenience features of social media also foster many rumors online. Without verification, these rumors would reach thousands of users immediately and cause serious damages.  ...  As for the weights of the rest two types of links: links from users to messages and links from messages to events, are not defined and set as 1 by default.  ... 
arXiv:1807.03505v1 fatcat:kvwukm7kofhyfd3yjlajagoxce

A semi-supervised method for topic extraction from micro postings

Georg Fuchs, Hendrik Stange, Ahmad Samiei, Gennady Andrienko, Natalia Andrienko
2015 it - Information Technology  
Typically, the human analyst needs to be actively involved during extraction and modeling to resolve ambiguities that will inevitable arise in such data and to put the model into context.  ...  The applicability and utility of the proposed approach is shown for a real-world use case: the analysis of product insights and topic-driven social networks analysis for a specific product line for an  ...  The Sociograph SG was created based on direct communication links implied by @-tags designating user names, including official brand accounts (see Figure 3 , left).  ... 
doi:10.1515/itit-2014-1078 fatcat:jzfp2bc6tbbknncehxxi2o7yjm

Sentiment Computing for the News Event Based on the Social Media Big Data

Dandan Jiang, Xiangfeng Luo, Junyu Xuan, Zheng Xu
2017 IEEE Access  
More specially, based on the social media data (i.e., words and emoticons) of a news event, a word emotion association network (WEAN) is built to jointly express its semantic and emotion, which lays the  ...  The explosive increasing of the social media data on the Web has created and promoted the development of the social media big data mining area welcomed by researchers from both academia and industry.  ...  [13] used deep learning to learn semantic representations of user and products for document level sentiment classification.  ... 
doi:10.1109/access.2016.2607218 fatcat:qfojkd4r4zfrvopraehdil44ke

Personalised Information Gathering and Recommender Systems: Techniques and Trends

Xiaohui Tao, Xujuan Zhou, Cher Han Lau, Yuefeng Li
2013 EAI Endorsed Transactions on Scalable Information Systems  
Web information gathering aims to acquire useful and meaningful information for users from the Web.  ...  However, web personalization has not yet been well-exploited; difficulties arise while selecting resources through recommender systems from a technological and social perspective.  ...  However, studies show that direct application of AT model does not yield significant improvement as compared to simple term-based approach [39, 135] .  ... 
doi:10.4108/trans.sis.2013.01-03.e4 fatcat:o6omvzmmwvctljy24uxi6oacz4

Emoji-based Co-attention Network for Microblog Sentiment Analysis [article]

Xiaowei Yuan, Jingyuan Hu, Xiaodan Zhang, Honglei Lv, Hao Liu
2022 arXiv   pre-print
In this paper, we propose an emoji-based co-attention network that learns the mutual emotional semantics between text and emojis on microblogs.  ...  increase its sensitivity to emotional semantic features.  ...  This shows emoji-guided text representation learning can effectively improve the ability of the model to learn the emotional semantic.  ... 
arXiv:2110.14227v2 fatcat:yuuwta5p4zddldzvvycbj2cqja

Towards Deep Learning Prospects: Insights for Social Media Analytics

Malik Khizar Hayat, Ali Daud, Abdulrahman A. Alshdadi, Ameen Banjar, Rabeeh Ayaz Abbasi, Yukun Bao, Hussain Dawood
2019 IEEE Access  
INDEX TERMS Social media data, dynamic network, deep learning, feature learning. 36958 He has published about 70 papers in reputed international Impact Factor journals and conferences.  ...  In order to the exponential development and widespread availability of digital social media (SM), analyzing these data using traditional tools and technologies is tough or even intractable.  ...  d: DYNAMIC NETWORK Users linked together by friendship links, make a network of users at Facebook.  ... 
doi:10.1109/access.2019.2905101 fatcat:65mxyey3frdrfngvbfnfss3gpa

Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning [article]

Chaozhuo Li, Senzhang Wang, Zheng Liu, Xing Xie, Lei Chen, Philip S. Yu
2021 arXiv   pre-print
User identity linkage, which aims to link identities of a natural person across different social platforms, has attracted increasing research interest recently.  ...  Then, a noise-aware self-learning module is designed to faithfully augment the few available annotations, which is capable of filtering noises from the pseudo-labels generated by the supervised module.  ...  and microblogs to learn informative user representations for G. Parameter Sensitivity Study social identity linkage.  ... 
arXiv:2112.07373v1 fatcat:e6zcnwrxifasbdmffrvqzmejiq

Semantic Enrichment of Twitter Posts for User Profile Construction on the Social Web [chapter]

Fabian Abel, Qi Gao, Geert-Jan Houben, Ke Tao
2011 Lecture Notes in Computer Science  
Given the variety and recency of topics people discuss on Twitter, semantic user profiles generated from Twitter posts moreover promise to be beneficial for other applications on the Social Web as well  ...  strong impact on the construction of semantic user profiles for the Social Web.  ...  In this paper we go beyond bagof-word representations and link tweets to news articles from which we extract entities to generate semantically more meaningful user profiles.  ... 
doi:10.1007/978-3-642-21064-8_26 fatcat:sqgr3l2od5ab7idofzqfytd3ze
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