Filters








336 Hits in 3.8 sec

To Create Emoji from Facial Expression using Python

Dr. Lutful Islam
2021 International Journal for Research in Applied Science and Engineering Technology  
With advancements in computer vision and deep learning, it's now possible to detect human emotions from images.  ...  It appears that emojis are filling the necessity for adding non-verbal cues in data communication about the intent and emotion behind a message.  ...  to detect human emotions from images.  ... 
doi:10.22214/ijraset.2021.34577 fatcat:rw7s72gq7ff57iuzdsj724fnka

A Systematic Review of Emoji: Current Research and Future Perspectives

Qiyu Bai, Qi Dan, Zhe Mu, Maokun Yang
2019 Frontiers in Psychology  
We reviewed the extant body of research on emoji and noted the development, usage, function, and application of emoji.  ...  A growing body of research explores emoji, which are visual symbols in computer mediated communication (CMC).  ...  Emoji developed from emoticons, and have both emotional and semantic functions.  ... 
doi:10.3389/fpsyg.2019.02221 pmid:31681068 pmcid:PMC6803511 fatcat:3k75bvbogzctxbvhcy4aucg6te

Combining textual features to detect cyberbullying in social media posts

Meisy Fortunatus, Patricia Anthony, Stuart Charters
2020 Procedia Computer Science  
Cyberbullying has become prevalent in social media communication. To create a safe space for cyber communication, an effective cyberbullying detection method is needed.  ...  Abstract Cyberbullying has become prevalent in social media communication. To create a safe space for cyber communication, an effective cyberbullying detection method is needed.  ...  Then emojis with less than 5 total occurrences, sentiment score of 0.000, irrelevant emoji groups that do not represent human emotion, and neutral emojis were removed from the list.  ... 
doi:10.1016/j.procs.2020.08.063 fatcat:vrupwv3bhndkbntv57iiwb2o4y

Early and late fusion of emojis and text to enhance opinion mining

Sadam Al-Azani, El-Sayed M. El-Alfy
2021 IEEE Access  
Two emoji-related issues are highlighted: ambiguity and misinterpretation of emojis' sentiment and tendency of persons to adopt emojis more in positive cases.  ...  Nowadays, emojis are getting excessively popular in social media communication as a complementary way to quickly express opinions and ideas in a visual manner.  ...  ACKNOWLEDGMENT The authors would like to thank King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia, for support during this work.  ... 
doi:10.1109/access.2021.3108502 fatcat:fyf5qs22ivgpzpb6gkfxytdr64

A Multi-layered Psychological-Based Reference Model for Citizen Need Assessment Using AI-Powered Models

Rajwa Alharthi, Abdulmotaleb El Saddik
2020 SN Computer Science  
data collection, preprocessing, feature extraction and contextualization module.  ...  We evaluate the predictive powers of various textual, psychological, semantic, lexicon-based and Twitter-specific features.  ...  Score-Based Sentiment and Emotion Lexicons We used features derived from several sentiment and emotion-based lexicons.  ... 
doi:10.1007/s42979-020-00271-3 fatcat:o5qozqxr5jha7nmrsfl6xznrxe

A Review of Emotion Recognition Using EEG Data and Machine Learning Techniques

2020 Innovative Systems Design and Engineering  
In this paper, the researcher try to review the comments from Reddit that are used, preprocessed and trained using Deep Neural Network to learn the emotions of the user.  ...  This document explores a new method for selecting appropriate thematic bands instead of using fixed bands to detect emotions.  ...  These features are explicitly expressed in sentimental words, emojis, and exclamation marks and so on.  ... 
doi:10.7176/isde/11-4-04 fatcat:tle3ex2hgrcn7m3mf2ws6bkcaa

Covıd-19 Salgınında Yaşanan Haftalık Duygusal Değişimler: Türkiye Örneği

Gökhan SİLAHTAROĞLU, Elif BAYKAL, Zehra Nur CANBOLAT
2020 Ekonomi İşletme ve Maliye Araştırmaları Dergisi  
As a result, some differences have been observed in the emotions analyzed in two-week periods.  ...  COVID-19 is a highly infectious and detrimental illness and is accepted as one of the most pervasive health crises of the last decades.  ...  In this analysis, an emotion word map consisting of 751 different emoji was developed and each emoji was given an emotion score between -1 and 1; -1 means negative, 0 means neutral and 1 means positive  ... 
doi:10.38009/ekimad.825285 fatcat:vc7hm66vxvc6pouexs4bag7imq

Harnessing Emotive Features for Emotion Recognition from Text

Rutal Mahajan, Mukesh Zaveri
2021 International Journal of Advanced Computer Science and Applications  
Additionally, the conversational text conveys many emotions through communication contexts. Emoticon serves the purpose of selfannotation of writer's emotion in text.  ...  Therefore, a machine learning-based text emotion recognition model using emotive features proposed and evaluated it on the SemEval-2019 dataset.  ...  The sense of recognizing and expressing emotion develops gradually from basic to complex linguistic if-then scenarios.  ... 
doi:10.14569/ijacsa.2021.0120719 fatcat:dgjwyasplfbshmyzmgq55xsmvu

Predictive Analysis on Twitter: Techniques and Applications [chapter]

Ugur Kursuncu, Manas Gaur, Usha Lokala, Krishnaprasad Thirunarayan, Amit Sheth, I. Budak Arpinar
2018 Lecture Notes in Social Networks  
Specifically, we present fine-grained analysis involving aspects such as sentiment, emotion, and the use of domain knowledge in the coarse-grained analysis of Twitter data for making decisions and taking  ...  Predictive analysis of social media data has attracted considerable attention from the research community as well as the business world because of the essential and actionable information it can provide  ...  [31] created an emoji sentiment lexicon analyzing the sentiment properties of emojis, and they pointed that the emoji sentiment lexicon can be used along with the lexicon of sentiment-bearing words  ... 
doi:10.1007/978-3-319-94105-9_4 fatcat:knquzcuqcjdjjguzq435nq5kni

Predictive Analysis on Twitter: Techniques and Applications [article]

Ugur Kursuncu, Manas Gaur, Usha Lokala, Krishnaprasad Thirunarayan, Amit Sheth, I. Budak Arpinar
2018 arXiv   pre-print
Specifically, we present fine-grained analysis involving aspects such as sentiment, emotion, and the use of domain knowledge in the coarse-grained analysis of Twitter data for making decisions and taking  ...  Predictive analysis of social media data has attracted considerable attention from the research community as well as the business world because of the essential and actionable information it can provide  ...  [31] created an emoji sentiment lexicon analyzing the sentiment properties of emojis, and they pointed that the emoji sentiment lexicon can be used along with the lexicon of sentiment-bearing words  ... 
arXiv:1806.02377v1 fatcat:gm5cqpmgvfggzgxgzocv4c3fqi

An Open Access Dataset of Tweets related to Exoskeletons and 100 Research Questions [article]

Nirmalya Thakur, Chia Y. Han
2021 arXiv   pre-print
web behavior data from social media communications, which have increased exponentially in the last few years.  ...  The Internet of Everything (IOE) era of today's living, characterized by people spending more time on the Internet than ever before, holds the potential for developing such a dataset by the mining of relevant  ...  ACKNOWLEDGMENT The authors would like to thank Isabella Hall, Department of Electrical Engineering and Computer Science at the University of Cincinnati, for her assistance in data cleaning and publication  ... 
arXiv:2111.04476v1 fatcat:wfknxoxthnbu7gunqcfsmruhte

AN INITIATIVE TO IDENTIFY DEPRESSION USING SENTIMENT ANALYSIS: A MACHINE LEARNING APPROACH

Akriti Sood, Madhurima Hooda, Saru Dhirn, Madhulika Bhatia
2018 Indian Journal of Science and Technology  
Findings: Sentiment analysis over Twitter offers associations and people a quick and powerful approach to screen the general population's sentiments towards them and their rivals.  ...  In this paper we proposed an algorithm through which tweets are extracted from twitter using R studio and then their sentiments are analyzed i.e. the scores are given to each sentiment by which we identify  ...  In this sentiment have scored such as positive negative and natural for positive emotions you get score but if the emotion is negative such as anger, disgust etc. you don't attain scores.  ... 
doi:10.17485/ijst/2018/v11i4/119594 fatcat:pzpuxahd5zb5jhf67ilady7zum

ISABELA – A Socially-Aware Human-in-the-Loop Advisor System

J. Fernandes, D. Raposo, N. Armando, S. Sinche, J. Sá Silva, A. Rodrigues, V. Pereira, H. Gonçalo Oliveira, Luís Macedo, F. Boavida
2020 Online Social Networks and Media  
The paper details the system architecture, presents a data analysis from the collected dataset, provides results for some of the built models, and discusses future research directions.  ...  without considering their intents, actions, emotions, or social context.  ...  by COMPETE 2020, Portugal 2020 -Operational Program for Competitiveness and Internationalization (POCI), European Union's ERDF (European Regional Development Fund) and the Portuguese Foundation for Science  ... 
doi:10.1016/j.osnem.2020.100060 fatcat:pqnkdbvk5rdlbbu5jijxlm5jby

NotiMind: Utilizing Responses to Smart Phone Notifications as Affective Sensors

Eiman Kanjo, Daria J. Kuss, Chee Siang Ang
2017 IEEE Access  
We also show how our findings open the door to a wide range of applications in relation to emotion awareness on social and mobile communication.  ...  Today's mobile phone users are faced with large numbers of notifications on social media, ranging from new followers on Twitter and emails to messages received from WhatsApp and Facebook.  ...  ACKNOWLEDGMENT This research was supported by the British Academy and the Leverhulme Trust ( grant number SG for fund ing this research  ... 
doi:10.1109/access.2017.2755661 fatcat:laqnxrewybcdpcsuq6cygpssyi

An experimental study on feature engineering and learning approaches for aggression detection in social media

Antonela Tommasel, Juan Manuel Rodriguez, Daniela Godoy
2019 Inteligencia Artificial  
media and the early detection of unwanted and aggressive situations.  ...  how cyberbullying occurs to prevent it from escalating.  ...  In this context, the analysis includes the average sentiment polarity of emojis in posts based on the Emoji Sentiment Ranking [Kralj Novak et al., 2015] 9 .  ... 
doi:10.4114/intartif.vol22iss63pp81-100 fatcat:mg2s7dmj75cbzgfny3a4yjtata
« Previous Showing results 1 — 15 out of 336 results