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Tracking the Evolution of Social Emotions: A Time-Aware Topic Modeling Perspective

Chen Zhu, Hengshu Zhu, Yong Ge, Enhong Chen, Qi Liu
2014 2014 IEEE International Conference on Data Mining  
Therefore, we further develop another model named emotionbased Dynamic Topic Model (eDTM), where we explore the state space model for tracking the dynamics of topics.  ...  In this paper, we propose to exploit these users' emotion annotations for online news in order to track the evolution of emotions, which plays an important role in various online services.  ...  These results may indicate that the social emotions evolve steadily with the evolution of the news topics.  ... 
doi:10.1109/icdm.2014.121 dblp:conf/icdm/ZhuZGCL14 fatcat:ot45j6si3jg65pmcjo6ouoitri

Topic tracking model for analyzing student-generated posts in SPOC discussion forums

Xian Peng, Chengyang Han, Fan Ouyang, Zhi Liu
2020 International Journal of Educational Technology in Higher Education  
valuable information, such as the evolution of topics, emotional and behavioral changes in relation to topics.  ...  Time, emotion, and behavior characteristics were incorporated into the topic modeling process, which allowed for an overview of automatic tracking and understanding of temporal topic changes in SPOC discussion  ...  Authors' contributions PX proprosed an improved unsupervised dynamic topic model, called Time Information-Emotion Behavior Model (TI-EBTM), and analyzed the SPOC courses data regarding the dynamic evolution  ... 
doi:10.1186/s41239-020-00211-4 fatcat:wdkarqv3lnd6jgbskf7tnuu7ra

Comment Topic Evolution on a Cancer Institution's Facebook Page

Li Zhou, Joseph Plasek, Ronen Rozenblum, David Bates, Chunlei Tang
2017 Applied Clinical Informatics  
Objectives: Our goal was to identify and track the evolution of the topics discussed in free-text comments on a cancer institution's social media page.  ...  Topic analysis may help institutions better identify and support the needs (emotional, instrumental, and social) of their community and influence their social media strategy.Citation: Tang C, Zhou L, Plasek  ...  All the authors are accountable for the integrity of this work. Research Article Tang C, Zhou L, Plasek J et al.: Comment Topic Evolution  ... 
doi:10.4338/aci-2017-04-ra-0055 pmid:28832069 pmcid:PMC6220692 fatcat:qwn7ptiq2jfzzgtubsqwsnkria

Tracking and Analyzing Public Emotion Evolutions During COVID-19: A Case Study from the Event-Driven Perspective on Microblogs

Qi Li, Cong Wei, Jianning Dang, Lei Cao, Li Liu
2020 International Journal of Environmental Research and Public Health  
This study uses social networks to track the evolution of public emotion during COVID-19 in China and analyzes the root causes of these public emotions from an event-driven perspective.  ...  Based on the skeleton and key change points of COVID-19 extracted from microblogging contents, we tracked the public's emotional evolution modes (accumulated emotions, emotion covariances, and emotion  ...  To this end, the study aim is to track the evolution of public emotions and analyze the root causes of such emotions from an event-driven perspective.  ... 
doi:10.3390/ijerph17186888 pmid:32967163 pmcid:PMC7559419 fatcat:63vzxu7ovbf3poispnd4kz3rpu

Enhancing Decision Making Capacity in Tourism Domain Using Social Media Analytics [article]

Supun Abeysinghe, Isura Manchanayake, Chamod Samarajeewa, Prabod Rathnayaka, Malaka J. Walpola, Rashmika Nawaratne, Tharindu Bandaragoda, Damminda Alahakoon
2018 arXiv   pre-print
Identified topic pathways and aspects will give a decision maker some insight into what are the most discussed topics about the entity whereas associated sentiments and emotions will help to identify the  ...  Hence, we propose a social media analytics platform which has the capability to identify discussion pathways and aspects with their corresponding sentiment and deeper emotions using machine learning techniques  ...  They have presented a topic mining model to track and connect topics over time.  ... 
arXiv:1812.08330v1 fatcat:klb4vewpfjdd3lfvzzla5nes4i

Emotional Analysis Model for Social Hot Topics of Professional Migrant Workers

Gefeng Pang, Anze Bao, Xin Ning
2022 Computational Intelligence and Neuroscience  
The online LDA (Latent Dirichlet Allocation) model is used in this paper to train the social hot topic data of professional migrant workers on the same time slice, and the subtopic evolution and intensity  ...  An example is used to demonstrate the effectiveness of the proposed model.  ...  Compare the topic evolution and topic intensity with the topic discussion degree, as shown in Figure 6 .  ... 
doi:10.1155/2022/3812055 pmid:35140770 pmcid:PMC8820853 fatcat:pq4nroprerclhbhmpezlsf4bda

Monitoring People's Emotions and Symptoms from Arabic Tweets during the COVID-19 Pandemic

Ali Al-Laith, Mamdouh Alenezi
2021 Information  
We present a monitoring system of citizens' concerns using emotion detection in Twitter data. We also track public emotions and link these emotions with COVID-19 symptoms.  ...  We aim to show the effect of emotion monitoring on improving people's daily health behavior and reduce the spread of negative emotions that affect the mental health of citizens.  ...  Conflicts of Interest: The authors declare that they have no conflicts of interest to report regarding the present study.  ... 
doi:10.3390/info12020086 fatcat:p74ajrqszzczhoricba37ztdxa

Aspect Based Emotion Detection and Topic Modeling on Social Media Reviews [chapter]

Ganesh N. Jorvekar, Mohit Gangwar
2021 Advances in Parallel Computing  
In this Work we are trying to fill the gap between emotional recognition and emotional co-relation mining through social media reviews of natural language text.  ...  Numerous types of features and Recurrent neural-network (RNN) as deep learning model provided to mine the emotion co-relation from emotion detection using text.  ...  Gangwar / Emotion Detection and Topic Modeling on Social Media Reviews 553 G.N. Jorvekar and M. Gangwar / Emotion Detection and Topic Modeling on Social Media Reviews 557  ... 
doi:10.3233/apc210242 fatcat:oh27gbrbp5ge3jspcaeyusmakq

Understanding Weekly COVID-19 Concerns through Dynamic Content-Specific LDA Topic Modeling

Mohammadzaman Zamani, H. Andrew Schwartz, Johannes Eichstaedt, Sharath Chandra Guntuku, Adithya Virinchipuram Ganesan, Sean Clouston, Salvatore Giorgi
2020 Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science  
We propose a dynamic content-specific LDA topic modeling technique that can help to identify different domains of COVID-specific discourse that can be used to track societal shifts in concerns or views  ...  The novelty and global scale of the COVID-19 pandemic has lead to rapid societal changes in a short span of time.  ...  Methods Dynamic LDA topic modeling LDA topic modeling estimates two sets of distributions: 1) representing each document as a multinomial distribution over T topics and 2) representing each topic with  ... 
doi:10.18653/v1/2020.nlpcss-1.21 pmid:34095902 pmcid:PMC8174455 fatcat:xfh6e2d5ifakjbir2l7juea2vi

Situation monitoring of urban areas using social media data streams

Andreas Weiler, Michael Grossniklaus, Marc H. Scholl
2016 Information Systems  
In addition to the well known challenges of event and topic detection and tracking, this task involves a spatial and temporal dimension.  ...  The continuous growth of social networks and the active use of social media services result in massive amounts of user generated data.  ...  Acknowledgements The authors would like to thank the anonymous reviewers and Martin Brunner for their valuable feedback that greatly helped to improve the quality of this paper.  ... 
doi:10.1016/j.is.2015.09.004 fatcat:n7kmcglfqbbmpirccntt3cvqay

Place as Topics: Analysis of Spatial and Temporal Evolution of Topics from Social Networks Data

Giovanni Siragusa
2016 International Conference on Language Resources and Evaluation  
., 2003) on geo-referenced social networks data. My main assumption is that topics allow to capture the sense of place shared by social sensors.  ...  In this paper, I will describe my research project, a visual framework that aims to simplify the process of place definition using topics generated from the application of Blei et al.  ...  The model assigns words to a topic accord-ing to a geographic region, which is modelled by a latent variable labelled with r. Recent works have focused on tracking the evolution of topics over time.  ... 
dblp:conf/lrec/Siragusa16 fatcat:vlt5kl3fs5ajzpwk65bczm5cry

Topic-Emotion Propagation Mechanism of Public Emergencies in Social Networks

Meng Cai, Han Luo, Xiao Meng, Ying Cui
2021 Sensors  
Users with a high level of topic influence were often accompanied by a high level of emotion appeal.  ...  The information propagation of emergencies in social networks is often accompanied by the dissemination of the topic and emotion.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s21134516 pmid:34282784 fatcat:avenoyinfndvnjbz25wtvfz6si

Affective states in digital game-based learning: Thematic evolution and social network analysis

Xieling Chen, Di Zou, Lucas Kohnke, Haoran Xie, Gary Cheng, Mohammed Saqr
2021 PLoS ONE  
Specifically, thematic evolution analysis is conducted to explore the evolution of topics that are categorized into four different groups (i.e., games, emotions, applications, and analytical technologies  ...  The field of emotions in DGBL has become an active research field with accumulated literature available, which calls for a comprehensive understanding of the up-to-date literature concerning emotions in  ...  Then, thematic evolution analysis explores the evolution of topics related to games, emotions, applications, and analytical technologies to answer RQ2.  ... 
doi:10.1371/journal.pone.0255184 pmid:34320029 pmcid:PMC8318230 fatcat:vsuyvhoswrhelh6kkam66yzglm

Love Me, Love Me, Say (and Write!) that You Love Me: Enriching the WASABI Song Corpus with Lyrics Annotations [article]

Michael Fell, Elena Cabrio, Elmahdi Korfed, Michel Buffa, Fabien Gandon
2020 arXiv   pre-print
as their structure segmentation, their topics, the explicitness of the lyrics content, the salient passages of a song and the emotions conveyed.  ...  The creation of the resource is still ongoing: so far, the corpus contains 1.73M songs with lyrics (1.41M unique lyrics) annotated at different levels with the output of the above mentioned methods.  ...  Acknowledgement This work is partly funded by the French Research National Agency (ANR) under the WASABI project (contract ANR-16-CE23-0017-01) and by the EU Horizon 2020 research and innovation programme  ... 
arXiv:1912.02477v2 fatcat:eltjjg2kjbcynkdtutgmfgyw2u

Network Structure and Community Evolution Online: Behavioral and Emotional Changes in Response to COVID-19

Fan Fang, Tong Wang, Suoyi Tan, Saran Chen, Tao Zhou, Wei Zhang, Qiang Guo, Jianguo Liu, Petter Holme, Xin Lu
2022 Frontiers in Public Health  
In combination with community detection, text analysis, and sentiment analysis, we comprehensively analyzed the evolution of the social network structure, as well as the behavioral and emotional changes  ...  Finally, we find a statistically significant "rebound effect" by exploring the emotional content of the users' posts through paired sample t-test (P = 0.003).Conclusions: Following the evolution of the  ...  They identified new cases by tracking and predicting trends in the negative emotions of victims.  ... 
doi:10.3389/fpubh.2021.813234 pmid:35087790 pmcid:PMC8787074 fatcat:srwippl7fvap5k3gwzj6aq4mxi
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