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Sentiment Predictions Using Deep Belief Networks Model for Odd-Even Policy in Delhi 基于深度信念网络模型的德里奇偶政策情绪预测
Int. J. Synth. Emot. Pub Date : 2016-07-01 DOI: 10.4018/IJSE.2016070101
S. Sharma, Ximi Hoque, Pravin Chandra
{"title":"Sentiment Predictions Using Deep Belief Networks Model for Odd-Even Policy in Delhi","authors":"S. Sharma, Ximi Hoque, Pravin Chandra","doi":"10.4018/IJSE.2016070101","DOIUrl":"https://doi.org/10.4018/IJSE.2016070101","url":null,"abstract":"This paper analyzes the odd-even policy in Delhi using tweets posted on Twitter from December 2015 to August 2016. Twitter is a social network where users post their feelings, opinions and sentiments for any event. This paper transforms the unstructured tweets into structured information using open source libraries. Further objective is to build a model using Deep Belief Networks classification (DBN) to classify unseen tweets on the same context. This paper collects tweets on this event under six hashtags. This study explores three freely available resources / Application Programming Interfaces (APIs) for labeling of tweets for academic research. This paper proposes three sentiment prediction models using the sentiment predictions provided by three APIs. DBN classifier is used to build six models. The performances of these six models are evaluated through standard evaluation metrics. The experimental results reveal that the TextBlob API and proposed Preference Model outperformed than the other four sentiment prediction models.","PeriodicalId":272943,"journal":{"name":"Int. J. Synth. Emot.","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116316630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
Detection of Mobile Phone Fraud Using Possibilistic Fuzzy C-Means Clustering and Hidden Markov Model 基于可能性模糊c均值聚类和隐马尔可夫模型的手机诈骗检测
Int. J. Synth. Emot. Pub Date : 2016-07-01 DOI: 10.4018/IJSE.2016070102
Sharmila Subudhi, S. Panigrahi, T. Behera
{"title":"Detection of Mobile Phone Fraud Using Possibilistic Fuzzy C-Means Clustering and Hidden Markov Model","authors":"Sharmila Subudhi, S. Panigrahi, T. Behera","doi":"10.4018/IJSE.2016070102","DOIUrl":"https://doi.org/10.4018/IJSE.2016070102","url":null,"abstract":"This paper presents a novel approach for fraud detection in mobile phone networks by using a combination of Possibilistic Fuzzy C-Means clustering and Hidden Markov Model HMM. The clustering technique is first applied on two calling features extracted from the past call records of a subscriber generating a behavioral profile for the user. The HMM parameters are computed from the profile, which are used to generate some profile sequences for training. The trained HMM model is then applied for detecting fraudulent activities on incoming call sequences. A calling instance is detected as forged when the new sequence is not accepted by the trained model with sufficiently high probability. The efficacy of the proposed system is demonstrated by extensive experiments carried out with Reality Mining dataset. Furthermore, the comparative analysis performed with other clustering methods and another approach recently proposed in the literature justifies the effectiveness of the proposed algorithm.","PeriodicalId":272943,"journal":{"name":"Int. J. Synth. Emot.","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117197163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Appraisal Inference from Synthetic Facial Expressions 基于合成面部表情的评价推断
Int. J. Synth. Emot. Pub Date : 2016-07-01 DOI: 10.4018/IJSE.2016070103
Ilaria Sergi, Chiara Fiorentini, Stéphanie Trznadel, K. Scherer
{"title":"Appraisal Inference from Synthetic Facial Expressions","authors":"Ilaria Sergi, Chiara Fiorentini, Stéphanie Trznadel, K. Scherer","doi":"10.4018/IJSE.2016070103","DOIUrl":"https://doi.org/10.4018/IJSE.2016070103","url":null,"abstract":"Facial expression research largely relies on forced-choice paradigms that ask observers to choose a label to describe the emotion expressed, assuming a categorical encoding and decoding process. In contrast, appraisal theories of emotion suggest that cognitive appraisal of a situation and the resulting action tendencies determine facial actions in a complex cumulative and sequential process. It is feasible to assume that, in consequence, the expression recognition process is driven by the inference of appraisal configurations that can then be interpreted as discrete emotions. To obtain first evidence with realistic but well-controlled stimuli, theory-guided systematic facial synthesis of action units in avatar faces was used, asking judges to rate 42 combinations of facial actions action units on 9 appraisal dimensions. The results support the view that emotion recognition from facial expression is largely mediated by appraisal-action tendency inferences rather than direct categorical judgment. Implications for affective computing are discussed.","PeriodicalId":272943,"journal":{"name":"Int. J. Synth. Emot.","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117235411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
Feature Selection for GUMI Kernel-Based SVM in Speech Emotion Recognition 基于GUMI核的SVM在语音情感识别中的特征选择
Int. J. Synth. Emot. Pub Date : 2015-07-01 DOI: 10.4018/IJSE.2015070104
I. Trabelsi, M. Bouhlel
{"title":"Feature Selection for GUMI Kernel-Based SVM in Speech Emotion Recognition","authors":"I. Trabelsi, M. Bouhlel","doi":"10.4018/IJSE.2015070104","DOIUrl":"https://doi.org/10.4018/IJSE.2015070104","url":null,"abstract":"Speech emotion recognition is the indispensable requirement for efficient human machine interaction. Most modern automatic speech emotion recognition systems use Gaussian mixture models GMM and Support Vector Machines SVM. GMM are known for their performance and scalability in the spectral modeling while SVM are known for their discriminatory power. A GMM-supervector characterizes an emotional style by the GMM parameters mean vectors, covariance matrices, and mixture weights. GMM-supervector SVM benefits from both GMM and SVM frameworks. In this paper, the GMM-UBM mean interval GUMI kernel based on the Bhattacharyya distance is successfully used. CFSSubsetEval combined with Best first algorithm and Greedy stepwise were also utilized on the supervectors space in order to select the most important features. This framework is illustrated using Mel-frequency cepstral MFCC coefficients and Perceptual Linear Prediction PLP features on two different emotional databases namely the Surrey Audio-Expressed Emotion and the Berlin Emotional speech Database.","PeriodicalId":272943,"journal":{"name":"Int. J. Synth. Emot.","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114876015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 17
A Fuzzy Logic Approach in Emotion Detection and Recognition and Formulation of an Odor-Based Emotional Fitness Assistive System 模糊逻辑在情绪检测与识别中的应用及基于气味的情绪适应性辅助系统的构建
Int. J. Synth. Emot. Pub Date : 2015-07-01 DOI: 10.4018/IJSE.2015070102
Sudipta Ghosh, Debasish Kundu, G. Paul
{"title":"A Fuzzy Logic Approach in Emotion Detection and Recognition and Formulation of an Odor-Based Emotional Fitness Assistive System","authors":"Sudipta Ghosh, Debasish Kundu, G. Paul","doi":"10.4018/IJSE.2015070102","DOIUrl":"https://doi.org/10.4018/IJSE.2015070102","url":null,"abstract":"This paper aims at a Fuzzy relational approach for similar emotions expressed by different subjects by facial expressions and predefined parameters. Different Facial attributes contribute to a wide variety of emotions under varied circumstances. These same features also vary widely from person to person, introducing uncertainty to the process. Facial features like eye-opening, mouth-opening and length of eye-brow constriction from localized areas from a face are Fuzzified and converted into emotion space by employing relational models. This is dealt with Fuzzy Type-2 logic, which reigns supreme in reducing uncertainty.","PeriodicalId":272943,"journal":{"name":"Int. J. Synth. Emot.","volume":"714 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115144897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
The Semantic Dominance of Emotional Templates in Cognitive Structures 情感模板在认知结构中的语义优势
Int. J. Synth. Emot. Pub Date : 2015-07-01 DOI: 10.4018/IJSE.2015070101
Tom Adi
{"title":"The Semantic Dominance of Emotional Templates in Cognitive Structures","authors":"Tom Adi","doi":"10.4018/IJSE.2015070101","DOIUrl":"https://doi.org/10.4018/IJSE.2015070101","url":null,"abstract":"Deep semantics explains how the use of natural language influences human behaviour in all its domains. As it turns out, the phonetic structure of each word root in any language symbolizes an abstract template. In a fully functional human being, this abstract template is subconsciously converted into a practical concrete template that can be used to manage a specific human function in a certain domain. Many such templates have been presented and discussed in the past for the domains of emotions, cognition, economics, and others. In this paper, the author will demonstrate that the manner in which emotional templates are utilized by a person his emotional choices determines how concrete templates are generated from word roots for cognitive functioning and for all other aspects of human behaviour and personal development.","PeriodicalId":272943,"journal":{"name":"Int. J. Synth. Emot.","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130093723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Emotional Computer: Design Challenges and Opportunities 情感计算机:设计挑战与机遇
Int. J. Synth. Emot. Pub Date : 2015-07-01 DOI: 10.4018/IJSE.2015070103
Shikha Jain, Krishna Asawa
{"title":"Emotional Computer: Design Challenges and Opportunities","authors":"Shikha Jain, Krishna Asawa","doi":"10.4018/IJSE.2015070103","DOIUrl":"https://doi.org/10.4018/IJSE.2015070103","url":null,"abstract":"Extensive studies established the existence of a close interaction between emotion and cognition with remarkable influence of the emotion on all sorts of cognitive process. Consequently, technologies that emulate human intelligent behavior cannot be thought completely intelligent without incorporating interference of emotional component in the rational reasoning processes. Recently, several researchers have been started working in the field of emotion modeling to cater the need of interactive computer applications that demand human-like interaction with the computer. However, due to the absence of structured guidelines, the most challenging task for the researcher is to understand and select the most appropriate definitions, theories and processes governing the human psychology to design the intended model. The objective of the present article is to review the background scenario and necessary studies for designing emotion model for a computer machine so that it could generate appropriate synthetic emotions while interacting with the external environmental factors.","PeriodicalId":272943,"journal":{"name":"Int. J. Synth. Emot.","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117301863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
Feelings of a Cyborg 半机械人的感觉
Int. J. Synth. Emot. Pub Date : 2014-07-01 DOI: 10.4018/ijse.2014070101
K. Warwick, Ian Harrison
{"title":"Feelings of a Cyborg","authors":"K. Warwick, Ian Harrison","doi":"10.4018/ijse.2014070101","DOIUrl":"https://doi.org/10.4018/ijse.2014070101","url":null,"abstract":"In this article the two authors describe their personal experiences in experimenting as Cyborgs by having technology implanted in their body which they have lived with over a period. Each experiment is dealt with in a separate section. In each case the nature of the experiment is briefly described along with the results obtained and this is followed by an indication of the personal feelings and emotions felt in and around the time of the experiments.","PeriodicalId":272943,"journal":{"name":"Int. J. Synth. Emot.","volume":"178 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122142352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Turing's Three Senses of "Emotional" 图灵的“情感三感”
Int. J. Synth. Emot. Pub Date : 2014-07-01 DOI: 10.4018/ijse.2014070102
D. Proudfoot
{"title":"Turing's Three Senses of \"Emotional\"","authors":"D. Proudfoot","doi":"10.4018/ijse.2014070102","DOIUrl":"https://doi.org/10.4018/ijse.2014070102","url":null,"abstract":"Turing used the expression “emotional” in three distinct ways: to state his philosophical theory of the concept of intelligence, to classify arguments for and against the possibility of machine intelligence, and to describe the education of a “child machine”. The remarks on emotion include several of the most important philosophical claims. This paper analyses these remarks and their significance for current research in Artificial Intelligence.","PeriodicalId":272943,"journal":{"name":"Int. J. Synth. Emot.","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123229538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Cognitive and Emotional Contents of Laughter: Framing a New Neurocomputational Approach 笑的认知和情感内容:构建一个新的神经计算方法
Int. J. Synth. Emot. Pub Date : 2014-07-01 DOI: 10.4018/ijse.2014070104
R. Moral, J. Navarro, R. Lahoz-Beltra, M. G. Bedia, F. Serón, P. Marijuán
{"title":"Cognitive and Emotional Contents of Laughter: Framing a New Neurocomputational Approach","authors":"R. Moral, J. Navarro, R. Lahoz-Beltra, M. G. Bedia, F. Serón, P. Marijuán","doi":"10.4018/ijse.2014070104","DOIUrl":"https://doi.org/10.4018/ijse.2014070104","url":null,"abstract":"Laughter, one of the most intriguing reactions of individuals, is an important emotional component of intelligence's adaptive processes. Laughter spontaneously appears as an instinctive “gut†reaction; but it is also a cognitive phenomenon (humour), it is social, it has positive-negative valence, and it may wrap itself onto other emotional contents. Laughter becomes one of the most interesting instances to discuss the common information processing that underlies emotions and intelligence. In this article a new core hypothesis on the neurodynamics of laughter and its behavioural repercussions is discussed. The “sentic forms†hypothesis developed by Manfred Clynes for sensory-motor tactile communication is generalized neurodynamically in order to understand the problem-solving characteristics of laughter and the unusual sound features that it presents in our species. Laughter, far from being a curious evolutionary relic or a trivial innate behaviour, should be considered as a highly efficient tool for cognitive-emotional-social problem solving. Explaining laughter becomes a first-class neurodynamic and neurocomputational challenge.","PeriodicalId":272943,"journal":{"name":"Int. J. Synth. Emot.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130513098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
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