A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Filters
Making sense of tweets using sentiment analysis on closely related topics
2021
Social Network Analysis and Mining
Preserved Fulltext
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
2020
International Journal of Environmental Research and Public Health
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2022
Frontiers in Physics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
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
2021
Advances in Mathematical Physics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
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
2022
Future Internet
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
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
2019
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2014
Information Fusion
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
2013
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining - ASONAM '13
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
2022
Information
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
), 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
2021
Axioms
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
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
2020
Big Data and Cognitive Computing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2021
Heliyon
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
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
2009
Proceedings of the VLDB Endowment
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
2022
Computational Intelligence and Neuroscience
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
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]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
« Previous
Showing results 1 — 15 out of 6,192 results