List of Articles احساسات

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  1 - Sentiment analysis for stock market predection with deep neural network: A case study for international corporate stock database
  hakimeh mansour Saeedeh Momtazi Kamran Layeghi
  Emotional analysis is used as one of the main pillars in various fields such as financial management, marketing and economic changes forecasting in different countries. In order to build an emotion analyzer based on users' opinions on social media, after extracting impo More

  Emotional analysis is used as one of the main pillars in various fields such as financial management, marketing and economic changes forecasting in different countries. In order to build an emotion analyzer based on users' opinions on social media, after extracting important features between words by convolutional layers, we use LSTM layers to establish the relationship behind the sequence of words and extract the important features of the text. With discovery of new features extracted by LSTM, the ability of the proposed model to classify the stock values of companies increases. This article is based on the data of Nguyen et al. (2015) and uses only the emotional information of people in social networks to predict stocks. Given that we categorize each user's message into one of the emotional classes "Strong Buy", "Buy", "Hold", "Sell", "Strong Sell", this model can predict the stock value of the next day, whether it will be high or low. The proposed structure consisted of 21 layers of neural networks consisting of convolutional neural networks and long short-term memory network. These networks were implemented to predict the stock markets of 18 companies. Although some of the previously presented models have used for emotion analysis to predict the capital markets, the advanced hybrid methods have not been performed in deep networks with a good forecasting accuracy. The results were compared with 8 baseline methods and indicate that the performance of the proposed method is significantly better than other baselines. For daily forecasts of stocks changes, it resulted in 19.80% improvement in the prediction accuracy, compared with the deep CNN, and 24.50% and 23.94% improvement compared with the models developed by Nguyen et al. (2015) and Derakhshan et al. (2019), respectively. Manuscript profile
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  2 - Presenting the model for opinion mining at the document feature level for hotel users' reviews
  ELHAM KHALAJJ shahriyar mohammadi
  Nowadays, online review of user’s sentiments and opinions on the Internet is an important part of the process of people deciding whether to choose a product or use the services provided. Despite the Internet platform and easy access to blogs related to opinions in the More

  Nowadays, online review of user’s sentiments and opinions on the Internet is an important part of the process of people deciding whether to choose a product or use the services provided. Despite the Internet platform and easy access to blogs related to opinions in the field of tourism and hotel industry, there are huge and rich sources of ideas in the form of text that people can use text mining methods to discover the opinions of. Due to the importance of user's sentiments and opinions in the industry, especially in the tourism and hotel industry, the topics of opinion research and analysis of emotions and exploration of texts written by users have been considered by those in charge. In this research, a new and combined method based on a common approach in sentiment analysis, the use of words to produce characteristics for classifying reviews is presented. Thus, the development of two methods of vocabulary construction, one using statistical methods and the other using genetic algorithm is presented. The above words are combined with the Vocabulary of public feeling and standard Liu Bing classification of prominent words to increase the accuracy of classification Manuscript profile
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  3 - Studying the Relationship between "Moral Value" and "Making Informed choices" viewpoint of Nahj al-Balāghah
  mohsen javady Fatemeh marzeih Hosseini kashani
  The honorable book, Nahj al-Balāghah, is the moral and valuable treasury of Islamic school. So, explaining "what is moral value" from point of view of this great book, in presenting "Islamic moral theory" is helpful. Moral value belongs to secondary philosophical inel More

  The honorable book, Nahj al-Balāghah, is the moral and valuable treasury of Islamic school. So, explaining "what is moral value" from point of view of this great book, in presenting "Islamic moral theory" is helpful. Moral value belongs to secondary philosophical inelligibles. Therefore defining it by differentia and genus is impossible, and one of the ways to discover its essence and identity is to study the relationship between "moral value" and other different things, like act itself, act consequence, agent's intention, and his/her making informed or uninformed choices. So, one of important questions in this arena is that "how does moral value link to person's making informed choices?" The result, obtained out of investigating moral statements of Nahj al-Balāghah, and through scrutiny of the role of intellect and affection in acts moral value, is that from viewpoint of Nahj al-Balāghah, intellect is central, and affection impacts on valuableness of acts when it is dominated by intellect, though the influence of affection on moral value isn't denied and the Imām praises and disapproves some of affections and emotions and sometimes sees some role for affection in valuableness of acts Manuscript profile
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  4 - Jurisprudential thematic diversity: challenges andanswers (analytical study of nature of judges,justice at the scholars ,statement)
  mm aa aa aa Mohammadkazem Rahmansetayesh
  jurisprudential views showing the structure of justice include the apparent behavioral goodness,pertinacious queen in human soul,shunning the forbidden deeds, lack of debauchery in behavior, and loyalty to the basis of religion which face with jurisprudential uses and c More

  jurisprudential views showing the structure of justice include the apparent behavioral goodness,pertinacious queen in human soul,shunning the forbidden deeds, lack of debauchery in behavior, and loyalty to the basis of religion which face with jurisprudential uses and challenges and the analysis of each of them returns to the three basic elements of goodness in appearance, how to act or the influence of the queen of justice. The mentioned concepts and the absolute induction in imams jurisprudenc texts bring new meanings of the justice related to the ‘certain quantity’to the mind which will respond to the internal and external challenges of the quotations of the jurists . The analysis and answerTo each of them have been presented and described in this paper in detail. Manuscript profile
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  5 - Place of Act in Man’s Existence in Mullā Ṣadrā
  Fateme Soleimani Darrebaghi
  One of the important problems in the field of anthropology is the place of “act” in Man’s existence and its role in attaining perfection. In Mullā Ṣadrā’s view, when a person performs an act, its truth is developed inside their soul so that thoughts and beliefs function More

  One of the important problems in the field of anthropology is the place of “act” in Man’s existence and its role in attaining perfection. In Mullā Ṣadrā’s view, when a person performs an act, its truth is developed inside their soul so that thoughts and beliefs function as origins of different tendencies and feelings in human beings. Therefore, external acts are manifestations of human thoughts, intentions, feelings, and tendencies; they do not directly affect the formation of the truth of human beings but only function as the manifestation of the truth of the human soul. In this way, the truth and inner nature of act is identical with soulish forms and habits, which in the hereafter create the Ideal and otherworldly body. In fact, human beings represent themselves in the outside world through their acts. Hence, Mullā Ṣadrā rejects the idea that act is the cause of the emergence of states and attributes in the soul and, in case of repetition, results in the development of soulish habits. He, rather, believes that act is the product of human states and tendencies and merely plays the role of an intermediary between the human soul and the external material world. However, acts indirectly affect the formation of new thoughts and, as a result, new emotions and dispositions. Manuscript profile
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  6 - The Impact of Customer’s Emotion upon Product Features with Kansei Engineering Approach
  gholamreza hashemzade khorasegani Mohammad Reza Bahrami
  Abstract Despite the intense competitions to increase the quality, live up to the expectations of the customers, and decrease the costs, nowadays manufacturers need to design and make products in which customer’s real emotions and feelings should be taken into account. More

  Abstract Despite the intense competitions to increase the quality, live up to the expectations of the customers, and decrease the costs, nowadays manufacturers need to design and make products in which customer’s real emotions and feelings should be taken into account. Paying due attention to customer’s feelings about the product, Kansei engineering is one of the most appropriate methods to improve the quality of product and customer’s satisfaction. In addition to introducing Kansei engineering and its relevant techniques, this paper was aimed at translating feelings and emotional impacts on the design parameters. Reviewing the literature through interviewing Merident Toothpaste customers, 83 Kansei words representing customer’s feelings about the product were identified. After screening, 23 words influencing customer’s feelings were divided into three parts including natural features, apparel ones, and controllable factors in order to obtain more rational coefficients of importance in ANP method. Using ANP and DIMATEL methods, then the Kansei words were graded by the experts of organization; consequently, natural features were considered more important. Employing ANP method in the next step, Merident Toothpaste was compared with the similar products manufactured by 3 main competitors to investigate the advantages and disadvantages with respect to the opinions of customers. Eventually, the final weight and importance of criteria were determined. Manuscript profile
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  7 - Examining the Role of a Community’s Social Media-based Destination Brand in Winning Tourists’ Hearts Towards Co-Creating Values and Visiting the Place
  Zohreh Ali Esmaili Armin Goli
  10.61186/journalitor.36134.11.23.155
  This study sought to investigate the role of a community’s social media-based destination brand in winning the tourists’ hearts and convincing them to co-create values and visit the community. The population of this applied survey study comprised of Ramsar visitors who More

  This study sought to investigate the role of a community’s social media-based destination brand in winning the tourists’ hearts and convincing them to co-create values and visit the community. The population of this applied survey study comprised of Ramsar visitors who discussed it as a travel destination on social media and had used social media to choose Ramsar as a tourist destination. In this regard, 73 media sources where Ramsar had been discussed were selected using a judgmental sampling method. The required data were collected through electronic questionnaires from 384 visitors (out of 450 visitors) who were selected through non-probability convenient sampling. The collected data were then analyzed via SmartPLS software using structural equation modeling and path analysis technique. The findings of the study suggested that a community’s social media-based destination brand had a positive impact on the visitors’ enjoyment of the place, loving the place, and positive surprise towards the destination, persuading them to participate in the co-creation of values and thus revisit the place. Manuscript profile
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  8 - Wisdom analysis to develop it in training staff and model presentation
  Farhad Shafiepour Motlagh Abbas Hgoltash
  The purpose of this study was to analyze wisdom in order to develop it in educational staff (teachers) and to present a model. Mixed research method has been used for the study. The research environment consisted of all education teachers in Mahallat city (840 people) i More

  The purpose of this study was to analyze wisdom in order to develop it in educational staff (teachers) and to present a model. Mixed research method has been used for the study. The research environment consisted of all education teachers in Mahallat city (840 people) in the quantitative section and 70 people in the qualitative section of all teachers in Mahallat city and articles and documents published during the last 20 years (2001-2021).The sampling method was continuous in the quantitative part with one-stage-random cluster method (237 people) and in the qualitative part in a targeted manner until the data saturation with 18 people. For data analysis, one-sample t-test was used in quantitative part and coding method was used in qualitative part. In general, the results showed that the average level of teachers' wisdom is moderate. Model of improving teachers' wisdom in the causal conditions section under the name of benevolence with 4 central codes, in the strategic conditions section under the name of balancing the learning space with 6 central codes, in the contextual section called teacher ranking with 3 central codes, in the intervention section called Individual life problems have 3 central codes and in the consequences section under the name of teaching efficiency, it has 3 central codes (power to influence students, class vitality, reduction of academic failure). Manuscript profile
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  9 - Using Sentiment Analysis and Combining Classifiers for Spam Detection in Twitter
  mehdi salkhordeh haghighi Aminolah Kermani
  The welcoming of social networks, especially Twitter, has posed a new challenge to researchers, and it is nothing but spam. Numerous different approaches to deal with spam are presented. In this study, we attempt to enhance the accuracy of spam detection by applying one More

  The welcoming of social networks, especially Twitter, has posed a new challenge to researchers, and it is nothing but spam. Numerous different approaches to deal with spam are presented. In this study, we attempt to enhance the accuracy of spam detection by applying one of the latest spam detection techniques and its combination with sentiment analysis. Using the word embedding technique, we give the tweet text as input to a convolutional neural network (CNN) architecture, and the output will detect spam text or normal text. Simultaneously, by extracting the suitable features in the Twitter network and applying machine learning methods to them, we separately calculate the Tweeter spam detection. Eventually, we enter the output of both approaches into a Meta Classifier so that its output specifies the final spam detection or the normality of the tweet text. In this study, we employ both balanced and unbalanced datasets to examine the impact of the proposed model on two types of data. The results indicate an increase in the accuracy of the proposed method in both datasets. Manuscript profile
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  10 - A semantic sentiment recognition model based on ontology and cellular deep learning automata
  Hoshang Salehi Reza Ghaemi maryam khairabadi
  Today, social networks and communication media play a significant role in the daily life of users. Users talk and exchange information in different fields in social networks. In the sentences and comments of users, there are negative and positive feelings in relation to More

  Today, social networks and communication media play a significant role in the daily life of users. Users talk and exchange information in different fields in social networks. In the sentences and comments of users, there are negative and positive feelings in relation to the news of the day, current events, etc., and recognizing these feelings faces many challenges. So far, various methods such as machine learning, statistical approaches, artificial intelligence, etc., have been proposed for the purpose of detecting emotions, which despite their many applications; But they have not yet been able to have acceptable accuracy, transparency and accuracy. Therefore, in this article, an ontology-based semantic analysis model using cellular deep learning automata based on GMDH deep neural network is presented. Ontology approach is used to select salient features based on production rules and cellular deep learning automata is used to classify user sentiments. The main innovation of this article is the proposed algorithm that a deep learning method is developed to process only one expression and then by transferring it to the field of cellular automata, parallel or distributed processing is provided. In this article, the data sets of Amazon customers, Twitter, Facebook, fake news of COVID-19, Amazon and fake news network are used. By simulating the proposed method, it was observed that the proposed method has an average improvement of 3% compared to other methods Manuscript profile
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  11 - Applying deep learning for improving the results of sentiment analysis of Persian comments of Online retail stores
  faezeh forootan Mohammad Rabiei
  چكيده انگليسيThe retail market industry is one of the industries that affects the economies of countries, the life of which depends on the level of satisfaction and trust of customers to buy from these markets. In such a situation, the retail market industry is trying t More

  چكيده انگليسيThe retail market industry is one of the industries that affects the economies of countries, the life of which depends on the level of satisfaction and trust of customers to buy from these markets. In such a situation, the retail market industry is trying to provide conditions for customer feedback and interaction with retailers based on web pages and online platforms. Because the analysis of published opinions play a role not only in determining customer satisfaction but also in improving products. Therefore, in recent years, sentiment analysis techniques in order to analyze and summarize opinions, has been considered by researchers in various fields, especially the retail market industry. Manuscript profile