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Making sense of tweets using sentiment analysis on closely related topics

Sarvesh Bhatnagar, Nitin Choubey
2021 Social Network Analysis and Mining  
We apply that model on the following topics: shopping, politics, covid19 and electric vehicles to understand emerging trends, issues and its possible marketing, business and political implications.  ...  With this motivation, our study focuses on finding overall sentiments of related topics with reference to a given topic.  ...  It helps us understand public opinion given a text corpus of a given topic. As an example, we can try to identify public opinion about covid-19 based on tweets about it (Boon-Itt and Skunkan 2020).  ... 
doi:10.1007/s13278-021-00752-0 pmid:33968279 pmcid:PMC8092971 fatcat:jvgm5k5qpjac3mftq4uf2hr3fu

Social Media Multidimensional Analysis for Intelligent Health Surveillance

María José Aramburu, Rafael Berlanga, Indira Lanza
2020 International Journal of Environmental Research and Public Health  
However, little work has been done on providing a general framework to analyse the highly dynamic data of social networks from a multidimensional perspective.  ...  Finally, we illustrate how the proposed multidimensional model can be used to identify main events and topics, as well as to analyse their audience and impact.  ...  Acknowledgments: We would like to thank the reviewers for their thoughtful comments and efforts towards improving our manuscript. Conflicts of Interest: "The authors declare no conflict of interest."  ... 
doi:10.3390/ijerph17072289 pmid:32231152 fatcat:fniq4yb4lvc35ns52y57ncjjza

Construction of the Social Network Information Dissemination Index System Based on CNNs

Weihong Han, Linhe Xiao, Xiaobo Wu, Daihai He, Zhen Wang, Shudong Li
2022 Frontiers in Physics  
The information dissemination index system is an effective way to measure the dissemination of public opinion events in social networks.  ...  In addition, we use the deep learning method of the convolutional neural network to extract the rich convolution features of public opinion events in the information dissemination process.  ...  Li proposed a detection algorithm based on sparse self-encoding to study the mutual influence between nodes in social networks and analyze the information dissemination situation from the perspective of  ... 
doi:10.3389/fphy.2022.807099 fatcat:do4sqega2rgg5czd7iyjpzs6xa

Analysis and Recognition Method of Internet Image Public Opinion Based on Partial Differential Equation

Yang Zhang, Miaochao Chen
2021 Advances in Mathematical Physics  
netizens in time and guiding the trend of public opinion.  ...  Based on the theoretical analysis of public opinion, this article applies opinion mining technology to the online public opinion early warning system to achieve the purpose of grasping the opinions of  ...  Evans and Kelley [18] revised the KNN (K Nearest Neighbor) algorithm in the topic tracking technology based on the classification algorithm and proposed a topic tracking algorithm based on topic updates  ... 
doi:10.1155/2021/9759199 fatcat:ue7t6rdmwjge5kir4h6wpbmrcy

Cross-Domain Transfer Learning Prediction of COVID-19 Popular Topics Based on Knowledge Graph

Xiaolin Chen, Qixing Qu, Chengxi Wei, Shudong Chen
2022 Future Internet  
The significance of research on public opinion monitoring of social network emergencies is becoming increasingly important.  ...  As a platform for users to communicate and share information online, social networks are often the source of public opinion about emergencies.  ...  Related Work At present, for research on topic detection, scholars mostly work on methods such as topic modeling, multidimensional attribute extraction and algorithm-based improvement perspectives to identify  ... 
doi:10.3390/fi14040103 fatcat:shffd7rtsff4zlssyu7zyxcwhy

Influencing Opinions through False Online Information : A Study

Baldev Singh
2019 International Journal of Scientific Research in Computer Science Engineering and Information Technology  
It summarized various False information spreading Mechanisms, False Information Detection Algorithms, Mining Techniques for Online False Information to detect and prevent false online information.  ...  In this study, the focus is on to highlight false information generated through fake reviews, fake news and hoaxes based on web & social media.  ...  Edge distributions, Dense block detection, Co-clustering, A priori algorithm 3 Modeling- based Using Feature based and Modeling based models:- Time series analysis, Multidimensional  ... 
doi:10.32628/cseit1952101 fatcat:nl6aeqetjjandpsuyp7qxrh4oe

Detecting trends on the Web: A multidisciplinary approach

Rodrigo Dueñas-Fernández, Juan D. Velásquez, Gaston L'Huillier
2014 Information Fusion  
This paper introduces a framework for trend modeling and detection on the Web through the usage of Opinion Mining and Topic Modeling tools based on the fusion of freely available information.  ...  opinionated documents from social networks for each detected topic and extract sentiment information from them.  ...  Acknowledgements This work was partially supported by FONDEF project D10I-1198, entitled WHALE: Web Hypermedia Analysis Latent Environment and the Millennium Institute on Complex Engineering Systems (ICM  ... 
doi:10.1016/j.inffus.2014.01.006 fatcat:tqdm3az42rb33g5kidwgvptwry

OLAPing social media

Nafees Ur Rehman, Andreas Weiler, Marc H. Scholl
2013 Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining - ASONAM '13  
Social networks are platforms where millions of users interact frequently and share variety of digital content with each other. Users express their feelings and opinions on every topic of interest.  ...  These opinions carry import value for personal, academic and commercial applications, but the volume and the speed at which these are produced make it a challenging task for researchers and the underlying  ...  Twitter 1 is one such network that has triggered a large number of research projects and application developments by allowing access to its public data streams through a set of APIs.  ... 
doi:10.1145/2492517.2500273 dblp:conf/asunam/RehmanWS13 fatcat:4tyig4m4ozh77d66vjjeyr2ove

Study of the Yahoo-Yahoo Hash-Tag Tweets Using Sentiment Analysis and Opinion Mining Algorithms

Adebayo Abayomi-Alli, Olusola Abayomi-Alli, Sanjay Misra, Luis Fernandez-Sanz
2022 Information  
), Latent Semantic Indexing (LSI) and Multidimensional Scaling (MDS) graphs were used for sentiment analysis, topic modelling and topic visualization.  ...  In this study, content analysis of selected historical tweets from "yahoo-yahoo" hash-tag was conducted for sentiment and topic modelling.  ...  Data Availability Statement: The dataset containing the tweets used in this study is curated as "Yahoo-Yahoo Hash-Tag Tweets Using Sentiment Analysis and Opinion Mining Algorithms" [Data set], and publicly  ... 
doi:10.3390/info13030152 fatcat:waxm2o2fyvfxfalxhuifmgwupy

Modeling Multi-Dimensional Public Opinion Process Based on Complex Network Dynamics Model in the Context of Derived Topics

Tinggui Chen, Xiaohua Yin, Jianjun Yang, Guodong Cong, Guoping Li
2021 Axioms  
contained in subtopics, and network topology on the formation of multi-dimensional public opinion are studied.  ...  At the same time, the degree of information alienation has a greater impact on the number of derived subtopics, but it has a small impact on the dimensions of the final public opinion. (3) The network  ...  [26] designed a topic detection algorithm that worked on these multidimensional public opinion networks and their simulation results demonstrated that this model could be used to effectively characterize  ... 
doi:10.3390/axioms10040270 fatcat:jzau67etabf6ljid2cxo6sac7a

Text Mining in Big Data Analytics

Hossein Hassani, Christina Beneki, Stephan Unger, Maedeh Taj Mazinani, Mohammad Reza Yeganegi
2020 Big Data and Cognitive Computing  
Text mining in big data analytics is emerging as a powerful tool for harnessing the power of unstructured textual data by analyzing it to extract new knowledge and to identify significant patterns and  ...  on the predominant trends, methods, and applications of text mining research.  ...  Social media is a perfect platform for the public to transfer opinions, thoughts, and views on any topic in a manner that significantly affects their opinions and decisions.  ... 
doi:10.3390/bdcc4010001 fatcat:6fvmne7f2fbovjp4na5hl2tmv4

Identification of influencers in online social networks: measuring influence considering multidimensional factors exploration

Yun-Bei Zhuang, Zhi-Hong Li, Yun-Jing Zhuang
2021 Heliyon  
The proposed framework can be effectively applied to promote word-of-mouth marketing, and to steer public opinion in certain directions, even to support decisions during a negotiation process.  ...  , and so on.  ...  This study set out with the aim of assessing the influence of users in online social networks by multidimensional factors analysis and multidimensional influence modeling.  ... 
doi:10.1016/j.heliyon.2021.e06472 pmid:33898799 pmcid:PMC8060605 fatcat:zvovvuimbjgjzojb2rhnmktvsq

iNextCube

Yintao Yu, Bo Zhao, Cindy X. Lin, Yizhou Sun, Chen Chen, Jiawei Han, Binbin Liao, Tianyi Wu, ChengXiang Zhai, Duo Zhang
2009 Proceedings of the VLDB Endowment  
Based on our previous studies on TextCube [1], TopicCube [2], and information network analysis, such as RankClus [3] and NetClus [4], we construct iNextCube, an information-Network-enhanced text Cube.  ...  We call a database that consists of both multidimensional structured data and narrative text data as multidimensional text database.  ...  How can we find a group of related people given some topic through news data and detect their evolving trend?  ... 
doi:10.14778/1687553.1687608 fatcat:ikas64hehzewjk5cgr3i4nwd5q

Research on the Influence of DNN-Based Cross-Media Data Analysis on College Students' New Media Literacy

Rui Xu, Chen Wang, Yen Hsu, Xinyan Wang, Gengxin Sun
2022 Computational Intelligence and Neuroscience  
The formation of good new media literacy has a positive effect and influence on the work and study after the university, making it the main force of the media society.  ...  This paper takes 826 college students as the research object with deep neural network (DNN), and then analyzes their media selection tendency, media usage time, positive influence, and the relationship  ...  [12] studied multimodal topic detection on Twitter, using various visual features to study the impact of Twitter images on social topic detection for different topic categories.  ... 
doi:10.1155/2022/9224834 pmid:35965761 pmcid:PMC9365540 fatcat:qiykt6v3ivhxri4foyfgv64cfq

Detecting Group Beliefs Related to 2018's Brazilian Elections in Tweets A Combined Study on Modeling Topics and Sentiment Analysis [article]

Brenda Salenave Santana, Aline Aver Vanin
2020 arXiv   pre-print
To this end, we have used a combination of topic modeling approach with opinion mining techniques to analyze the motivated political discourses.  ...  Applying a bag-of-words model, the cosine similarity calculation was performed between each opinion and the observed groups.  ...  Due to algorithms created to meet the users expectations, much of what is publicized is part of a bubble of information.  ... 
arXiv:2006.00490v1 fatcat:afzsfaetbjb7fhei3ialoadmkq
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