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Mining the Relationship between Emoji Usage Patterns and Personality [article]

Weijian Li, Yuxiao Chen, Tianran Hu, Jiebo Luo
2018 arXiv   pre-print
In this paper, we investigate the correlation between user personality traits and their emoji usage patterns, particularly on overall amounts and specific preferences.  ...  Our correlation and emoji prediction results provide insights into the power of diverse personalities that lead to varies emoji usage patterns as well as its potential in emoji recommendation tasks.  ...  Acknowledgement We thank the support of New York State through the Goergen Institute of Data Science.  ... 
arXiv:1804.05143v1 fatcat:4htvqxwznnaijh25jn3mfucs64

ANALYSIS ON COGNITIVE SOCIAL DATA FUSION

Anandakumar H, Tamilselvan T, Nandni S, Subashree R, Vinodhini E
2020 International journal of advanced information and communication technology  
In this paper the Emoji in messages are decoded and Unicode will be set. Based on the Emoji the user interest can be understood in a better way.  ...  Big data face various challenges like clustering of data, visualizing, data representation, data processing, pattern mining, tracking of data and analysing behaviour of users.  ...  Anagreed relationship between two or more persons through social network is social media [5] . Social Cognitive Theory There is relationship between the person, environment and behaviours.  ... 
doi:10.46532/ijaict-2020007 fatcat:yzpepoyf4jc2xj533iyyhplaiu

Emoji as a Proxy of Emotional Communication [chapter]

Guillermo Santamaría-Bonfil, Orlando Grabiel Toledano López
2019 Future of Robotics - Becoming Human with Humanoid or Emotional Intelligence [Working Title]  
The relationship between language, emoji, and emotions is now being studied by several disciplines such as linguistics, psychology, natural language processing (NLP), and machine learning (ML).  ...  emotions using emoji, and presenting new trends for the exploitation of discovered emotional patterns for robotic emotional communication.  ...  Acknowledgements Author GSB thanks the Cátedra CONACYT program for supporting this research. Author OGTL thanks GSB for his excellent collaboration.  ... 
doi:10.5772/intechopen.88636 fatcat:wlzgnvu5jfejdohh2f3h6m6yua

Emojis predict dropouts of remote workers: An empirical study of emoji usage on GitHub

Xuan Lu, Wei Ai, Zhenpeng Chen, Yanbin Cao, Qiaozhu Mei, Christopher M. Danforth
2022 PLoS ONE  
We show that developers have diverse patterns of emoji usage, which can be related to their working status including activity levels, types of work, types of communications, time management, and other  ...  This paper studies how emojis, as non-verbal cues in online communications, can be used for such purposes and how the emotional signals in emoji usage can be used to predict future behavior of workers.  ...  Qiaozhu Mei and Xuan Lu's work is in part supported by the National Science Foundation under grant number 1633370.  ... 
doi:10.1371/journal.pone.0261262 pmid:35081111 pmcid:PMC8791473 fatcat:eyqyo2faqjd6pdummzxu42tsyy

Emojis Predict Dropouts of Remote Workers: An Empirical Study of Emoji Usage on GitHub [article]

Xuan Lu, Wei Ai, Zhenpeng Chen, Yanbin Cao, Xuanzhe Liu, Qiaozhu Mei
2021 arXiv   pre-print
We show that developers have diverse patterns of emoji usage, which highly correlate to their working status including activity levels, types of work, types of communications, time management, and other  ...  behavioral patterns.  ...  Qiaozhu Mei and Xuan Lu's work is in part supported by the National Science Foundation under grant number 1633370.  ... 
arXiv:2102.05737v1 fatcat:ckqzpt6g6rdo7j4hzirlorju5i

What Makes Consumers' Intention to Purchase Paid Stickers in Personal Messenger? The Role of Personality and Motivational Factors

Hyunmin Kang, YounJung Park, Yonghwan Shin, Hobin Choi, Sungtae Kim
2022 Frontiers in Psychology  
This study has implications in that it is an exploratory approach to the intention to purchase stickers, which has been investigated by few prior studies, and it sheds light on the relationship between  ...  Many messengers and social networking services (SNSs) use emojis and stickers as a means of communication.  ...  “Mining the relationship between emoji usage patterns and personality,” Paper Presented at the Twelfth International AAAI Conference on Web and Social Media in ; June 25–28, 2018; California, United States  ... 
doi:10.3389/fpsyg.2021.678803 pmid:35185663 pmcid:PMC8849107 fatcat:cushs4njjjaadebq77o4qr46cy

Reports of the Workshops Held at the 2018 International AAAI Conference on Web and Social Media

Managing Editor, Jisun An, Rumi Chunara, David J. Crandall, Darian Frajberg, Megan French, Bernard J. Jansen, Juhi Kulshrestha, Yelena Mejova, Daniel M. Romero, Joni Salminen, Amit Sharma (+4 others)
2018 The AI Magazine  
There were fourteen workshops in the program: Algorithmic Personalization and News: Risks and Opportunities; Beyond Online Data: Tackling Challenging Social Science Questions; Bridging the Gaps: Social  ...  , and Challenges in Social Media Experiments; Emoji Understanding and Applications in Social Media; Event Analytics Using Social Media Data; Exploring Ethical Trade-Offs in Social Media Research; Making  ...  Several papers discussed emoji research problems that are of interest to the computer science researchers, such as applying temporal variability of emoji usage patterns for improving emoji prediction,  ... 
doi:10.1609/aimag.v39i4.2835 fatcat:uzx3cx6btrfbvmatd74gymacji

Future Emoji Entry Prediction Using Neural Networks

Helen Wilfred Raj, Santhi Balachandran
2020 Journal of Computer Science  
We have also done a sentiment analysis of the text for predicting future emoji labels. Our model captures the relation between emojis in an optimized way.  ...  In digital communication, Emoji gives a visual appeal to the text, which improves communication and new vistas of exchange and creativity.  ...  Acknowledgement The authors would like to record their appreciation for Dhanya Gandhirajan for her contribution towards dataset collection and drafting the report.  ... 
doi:10.3844/jcssp.2020.150.157 fatcat:jra5ff4375cubkenjaj6ce3ss4

Using Emojis: Self-Presentation and Different Meaning Creation Approaches

Sibel Onursoy
2018 Galatasaray Üniversitesi Iletişim Dergisi  
This study mainly aims to explain the dimensions and importance of the emojis' usage. This qualitative study uses semi-structured in-depth interview technique.  ...  Emojis allow people from different language and culture backgrounds to communicate more effectively and initiate interactions when it is needed.  ...  Many emoji have been created so far and they technically help users to express their emotions. However, the simple relationship between emoji and emotional expressions is quite problematic.  ... 
doi:10.16878/gsuilet.500954 fatcat:bpnlmdsatrfrlcbtyuel2unl4q

SDF: psychological Stress Detection Framework from Microblogs using Pre-defined rules and Ontologies

Mohammed Mahmood Ali, Mohd Tajuddin
2018 International Journal of Intelligent Systems and Applications in Engineering  
The prediction strategy is proposed named as Stress Detection Framework (SDF) to analyze the stress in microblog.  ...  visual features (emoticons & Images) and social Interaction (Likes and Dislikes) to detect and predict stress in microblog messages.SDF is compared with TeniStrength that has shown an increase of 94.2%  ...  In SNS, Identifying the behavior of user varies from person to person as it depends on various artifacts such as linguistic, usage of patterns, words and their mentality of responses for a given context  ... 
doi:10.18201/ijisae.2018642080 fatcat:rpub63racjhg7j7r3sgzfldoiq

A French text-message corpus: 88milSMS. Synthesis and usage

Rachel Panckhurst, Cédric Lopez, Mathieu Roche
2020 Corpus  
who accompanied and legally advised our team throughout the project.  ...  of the anonymization system; Pierre Accorsi and Namrata Patel (Master's students in Computer Science at the Université de Montpellier), who developed the 'Seek&Hide' software, used to anonymize the corpus  ...  Synthesis and usage Corpus, 20 | 2020 needed André (2017)message corpus: 88milSMS.Synthesis and usage Corpus, 20 | 2020 Danesi M. (2016).The Semiotics of Emoji: The Rise of Visual Language in the Age  ... 
doi:10.4000/corpus.4852 fatcat:63gfve55v5erxg5fxho4z5u6mu

Review on Twitter Data Analysis using R Language

Virendra Yadav, Srushti Chahande, Ankita Wandre
2018 IJARCCE  
There is huge volume of data in the web with the advancement of web technologies and its growth.  ...  In this paper we present a survey and comparative analysis of existing techniques for opinion mining. there are two main parts in framework initially, ensemble classifier schema, combines knowledge based  ...  This is to be done for differentiation between the regular usage and emphasized usage of a word. • After counting the number of exclamations marks all the punctuations are removed. • By using a POS tagger  ... 
doi:10.17148/ijarcce.2018.71014 fatcat:ecsgwx7uwfftjdb4ioojdgvdju

Learning Language and Multimodal Privacy-Preserving Markers of Mood from Mobile Data [article]

Paul Pu Liang, Terrance Liu, Anna Cai, Michal Muszynski, Ryo Ishii, Nicholas Allen, Randy Auerbach, David Brent, Ruslan Salakhutdinov, Louis-Philippe Morency
2021 arXiv   pre-print
The ability to accurately and efficiently predict mood from easily collectible data has several important implications for the early detection, intervention, and treatment of mental health disorders.  ...  However, care must be taken to summarize behaviors without identifying the user through personal (e.g., personally identifiable information) or protected (e.g., race, gender) attributes.  ...  Qualitative Analysis To further shed light on the relationships between mood prediction performance and privacy, we performed a more in-depth study of the text, keystroke, and app usage features learned  ... 
arXiv:2106.13213v1 fatcat:n3i66l54b5dhfdipo7lxwst6ti

Machine Learning Based Sentiment Analysis on Twitter Data

H. Saglani Khushboo
2020 International Journal of Emerging Trends in Engineering Research  
Twitter is online small-scale blogging and person to person communication stage which permits clients to compose short notices of greatest length 140 characters.  ...  Tearing down the open evaluation is critical for certain applications, for instance, firms endeavouring to find the response of their things in the market, predicting political choices and envisioning  ...  assumptions of tweets goes under the area of "Data Mining" & "Pattern Classification".  ... 
doi:10.30534/ijeter/2020/60882020 fatcat:efipeofdh5brjmu4jzeh6q4gve

MULDASA: Multifactor Lexical Sentiment Analysis of Social-Media Content in Nonstandard Arabic Social Media

Ghadah Alwakid, Taha Osman, Mahmoud El Haj, Saad Alanazi, Mamoona Humayun, Najm Us Sama
2022 Applied Sciences  
Many elements comprising emoji, intensifiers, negations, and other nonstandard expressions such as supplications, proverbs, and interjections are incorporated into the MULDASA algorithm to enhance the  ...  The semantically complicated Arabic natural vocabulary, and the shortage of available techniques and skills to capture Arabic emotions from text hinder Arabic sentiment analysis (ASA).  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app12083806 fatcat:7sfbv7brwnb2be4hm372essgzi
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