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Recognizing Emotion in Text using Neural Network and Fuzzy Logic

Neeraj Kanger, Gourav Bathla
2017 Indian Journal of Science and Technology  
Findings: The results show that with Neural Network and Fuzzy Logic performs very well in recognizing the emotional polarity of the sentences.  ...  Objectives: To find out sentiment of people about a particular thing or objects and to classify these sentiments.  ...  In the last overall polarity of the text is calculated. If the polarity of data is positive, it is positive sentence and if polarity is negative it is negative sentence.  ... 
doi:10.17485/ijst/2017/v10i12/100526 fatcat:6adptl6kzfgvhbw2ci7d6wln4i

Performing opinion mining and analytical study for cashless transactions

Sonakshi Vij, Amita Jain, Devendra Tayal
2019 International Journal of Forensic Software Engineering  
Secondly, it finds out the opinion of the people about cashless transactions using a hybrid approach of type 2 fuzzy logic and hesitant fuzzy sets for polarity assignment.  ...  With the increase in number of options of digital payments, people are inclining themselves towards ease of payment.  ...  Step 1: data collection The data used for performing sentiment analysis is collected from the widely known social networking platform Twitter, in the form of tweets.  ... 
doi:10.1504/ijfse.2019.10026450 fatcat:zudg7st2tzfhvly4fwnufhqzua

Echo chambers and viral misinformation: Modeling fake news as complex contagion

Petter Törnberg, Chris T. Bauch
2018 PLoS ONE  
These findings have implication for the study of the media logic of new social media.  ...  Virality as a function of network polarization in empirical networks. These figures correspond to Fig 1, and show the effects of network polarization on virality for different activation thresholds.  ...  By engaging in this exploration, this paper constitutes a step toward the study of the "media logic" [27] of social media, which, as has been noted by multiple scholars, differ in important ways from  ... 
doi:10.1371/journal.pone.0203958 pmid:30235239 pmcid:PMC6147442 fatcat:aif7rlpp4fg4zdiuxrxrec2yam

An effectual emotion recognition system based on fuzzy logic

2016 International Journal of Latest Trends in Engineering and Technology  
In the last step overall polarity of the text is calculated. If the polarity of data is positive, it is positive sentence and if polarity is negative it is negative sentence. IV.  ...  USE OF SOCIAL MEDIA About four out of five clients of web use online networking for few or other connection.  ... 
doi:10.21172/1.81.016 fatcat:iigsthz77bcpbdak5gclzbivzi

Editors' introduction: social dynamics and collective rationality

Frank Zenker, Carlo Proietti
2014 Synthese  
We provide a brief introduction to this special issue on social dynamics and collective rationality, and summarize the gist of the papers collected therein.  ...  Fenrong Liu, Jeremy Seligman and Patrick Girard (Logical Dynamics of Belief Change in the Community) take a step towards combining the study of abstract social networks and dynamic epistemic logic (DEL  ...  Rendsvig (Pluralistic Ignorance in the Bystander Effect) offers a stepby-step reconstruction, followed by a logical analysis, of the process that (often) leads larger groups of bystanders to fail to intervene  ... 
doi:10.1007/s11229-014-0430-5 fatcat:m6rspy2wpbdonmk3nkmyb57zge

Polarization and Belief Convergence of Agents in Strongly-Connected Influence Graphs [article]

Mário S. Alvim
2020 arXiv   pre-print
We describe a model for polarization in multi-agent systems based on Esteban and Ray's classic measure of polarization from economics.  ...  Finally, we show that polarization does not necessarily vanish in weakly-connected graphs, and illustrate the model with a series of case studies and simulations giving some insights about polarization  ...  As a step further, here we consider a refinement of the model that can capture bias not only towards agents, but towards opinions themselves.  ... 
arXiv:2012.02703v1 fatcat:x6te2mcy2bchndhicvud6hhj7a

Использование нечетких множеств и логики длясентимент-анализа текста в социальных сетях

D.A. Zimanova, A.K. Sadir, B.M. Kassymov, P.S. Shamoi
This paper is devoted to usage of fuzzy logic in sentiment analysis of social network comments.  ...  Using our application user will be able to access generalized public mood towards some topics from social network posts.  ...  Nowadays text processing technologies have attracted more attention than ever before and social networks have a vast influence on human life.  ... 
doi:10.54309/ijict.2020.1.1.045 fatcat:rkqow6u7hnbddf4hw2ir23irfy


Anahit Hakobyan
The results of further research show decline in the trust towards online new sources.  ...  In particular, the link between the logic of social networking platforms and their effects on news production and distribution are analyzed. Результаты исследования.  ... 
doi:10.18522/2227-8656.2021.6.5 fatcat:5mi7naxhy5b6hlkoefsdqsz364

A Weighted Balance Model of Opinion Hyperpolarization

Simon Schweighofer, Frank Schweitzer, David Garcia
2020 Journal of Artificial Societies and Social Simulation  
In this paper, we explain the emergence of hyperpolarization, i.e., the combination of extremeness and correlation between issues, by developing a new theory of opinion formation called "Weighted Balance  ...  Polarization is threatening the stability of democratic societies. Until now, polarization research has focused on opinion extremeness, overlooking the correlation between di erent policy issues.  ...  At each time step t, all N agents are selected in random order (thus, a single time step consists of N interactions).  ... 
doi:10.18564/jasss.4306 fatcat:hwgkth4sfvdufnaqubv3hxy27y

A Multi-Agent Model for Polarization under Confirmation Bias in Social Networks [article]

Mário S. Alvim, Bernardo Amorim, Sophia Knight, Santiago Quintero, Frank Valencia
2021 arXiv   pre-print
We describe a model for polarization in multi-agent systems based on Esteban and Ray's standard measure of polarization from economics.  ...  Agents evolve by updating their beliefs (opinions) based on an underlying influence graph, as in the standard DeGroot model for social learning, but under a confirmation bias; i.e., a discounting of opinions  ...  Hunter [18] introduces a logic of belief updates over social networks where closer agents in the social network are more trusted and thus more influential.  ... 
arXiv:2104.11538v1 fatcat:hz3tvuayibdh7hvyk4una7kas4

Estimation of Interpersonal Relationships in Movies

Yuta OHWATARI, Takahiro KAWAMURA, Yuichi SEI, Yasuyuki TAHARA, Akihiko OHSUGA
2016 IEICE transactions on information and systems  
As a way to analyze the movies, we propose a method of estimating interpersonal relationships of the characters, using a machine learning technique called Markov Logic Network (MLN) from movie script databases  ...  The MLN is a probabilistic logic network that can describe the relationships between characters, which are not necessarily satisfied on every line.  ...  Markov Logic Network The MLN is a probabilistic extension of finite first-order logic that makes up the disadvantages of all the other Markov Network and first-order logic [10] .  ... 
doi:10.1587/transinf.2015mup0015 fatcat:u6z3vrfbefdy7mrmgyqv42ax2e

Leveraging Textual Sentiment Analysis with Social Network Modelling: Sentiment Analysis of Political Blogs in the 2008 U.S. Presidential Election [chapter]

Wojciech Gryc, Karo Moilanen
2014 Discourse Approaches to Politics, Society and Culture  
Automatic computational analysis and categorisation of political texts with respect to the rich array of personal sentiments, opinions, stances, and political orientations expressed in polarised political  ...  The task does however pose major challenges for state-of-the-art  ...  the post. • Social Network Modelling ( §4.3): in a third, much wider meta-approach centered around the blog posts' social context, each blog post's position in the social network structure across the  ... 
doi:10.1075/dapsac.55.03gry fatcat:xrxqrm6zajarne4uuyfcquxmay

A New Framework for ABMs Based on Argumentative Reasoning [chapter]

Simone Gabbriellini, Paolo Torroni
2014 Advances in Intelligent Systems and Computing  
This paper is an extended version of the short paper accepted by AAMAS 2013 [14] 1 The relevance of logic in social simulations is an open issue, with both detractors and supporters [10] .  ...  We argue that this approach can be beneficial in social simulations, allowing for a better representation of agent reasoning, that is also accessible to the non computer science savvy, thus filling a gap  ...  There is already a plea for the use of logic-related approaches in ABM [25] , but we are not aware of any previous ABM that uses argumentation to investigate social phenomena.  ... 
doi:10.1007/978-3-642-39829-2_3 fatcat:gmq6bfqlrfbrpcvf2ozlfbagle

Polarization of Climate Politics Results from Partisan Sorting: Evidence from Finnish Twittersphere [article]

Ted Hsuan Yun Chen and Ali Salloum and Antti Gronow and Tuomas Ylä-Anttila and Mikko Kivelä
2020 arXiv   pre-print
Using a network approach and social media data from the Twitter platform, we study polarization of public opinion toward climate politics and ten other politically salient topics during the 2019 Finnish  ...  elections as the emergence of opposing groups in a public forum.  ...  Second, to the extent that existing work shows evidence of partisan sorting in public attitudes toward climate politics, they leave open the question of further alignment between climate and other socially  ... 
arXiv:2007.02706v1 fatcat:b35dqa55c5avrpy7qim74o6owa

Ten-Year History of Social Network Logics in China

Fenrong Liu, Dazhu Li
2022 Asian Studies  
The paper presents a ten-year history of social network logics in China.  ...  It tells the story of how this new research area was started, how its research agenda was extended, and, in particular, how a focus on graph games developed.  ...  We thank Zhen Liang for providing a summary of his works, and Yi Wang for sharing his papers with us. We are grateful to Bo Chen for inviting us to this special issue.  ... 
doi:10.4312/as.2022.10.2.121-146 fatcat:qztxrkmpozgwxgvt4ihvut4wgm
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