Improving Attitude Words Classification for Opinion Mining using Word Embedding

[EN] Recognizing and classifying evaluative expressions is an important issue of sentiment analysis. This paper presents a corpus-based method for classifying attitude types (Affect, Judgment and Appreciation) and attitude orientation (positive and negative) of words in Spanish relying on the Attitude system of the Appraisal Theory. The main contribution lies in exploring large and unlabeled corpora using neural network word embedding techniques in order to obtain semantic information among words of the same attitude and orientation class. Experimental results show that the proposed method achieves a good effectiveness and outperforms the state of the art for automatic classification of attitude words in Spanish language.The work of the fourth author was partially supported by the SomEMBED TIN2015-71147-C2-1-P research project (MINECO/FEDER).Ortega-Bueno, R.; Medina-Pagola, JE.; Muñiz-Cuza, CE.; Rosso, P. (2019). Improving Attitude Words Classification for Opinion Mining using Word Embedding. Lecture Notes in Computer Science. 11401:971-982. https://doi.org/10.1007/978-3-030-13469-3_112S9719821140

Software Development Of Information-Advertising Catalogue Creation

Application of the full-value data processing is one of the most important points of the market success of the advertising agency. The information system of information-advertising catalog creation has been developed. This software having user-friendly interface allows to separate access rights to database by password input, to delete and correct information of catalogs, to review data on sections of catalogs, to search information about advertiser using keywords, to use system in local network and Internet. Developed software is based on using Apache and Tomcat server and Java Server Pages. The images of user interface and information searching result have been presented

Software Development Of Information-Advertising Catalogue Creation

Application of the full-value data processing is one of the most important points of the market success of the advertising agency. The information system of information-advertising catalog creation has been developed. This software having user-friendly interface allows to separate access rights to database by password input, to delete and correct information of catalogs, to review data on sections of catalogs, to search information about advertiser using keywords, to use system in local network and Internet. Developed software is based on using Apache and Tomcat server and Java Server Pages. The images of user interface and information searching result have been presented

Development Of Three-Dimensional Animation Of Spherical Motion Platform Used In Virtual Reality Systems

the paper is concerned with development of the high-performance and simple system of the motion effect simulation on the operator and his working place. In result of scientific-research work the multipurpose, simple and reliable mechanical system for spherical motion reproducing of the operator work place has been designed. Developed animation model of spatial motion visualization of the platform and operator permits to evaluate the overall dimensions of the motion simulator, possible position area of operator, determine the ways of compact prototype creation and script of man body motion in space. Description of different types of movable platforms, geometry of the spherical motion platform on the basis of the four-bar linkage and its three-dimensional model has been presented

Development Of Three-Dimensional Animation Of Spherical Motion Platform Used In Virtual Reality Systems

the paper is concerned with development of the high-performance and simple system of the motion effect simulation on the operator and his working place. In result of scientific-research work the multipurpose, simple and reliable mechanical system for spherical motion reproducing of the operator work place has been designed. Developed animation model of spatial motion visualization of the platform and operator permits to evaluate the overall dimensions of the motion simulator, possible position area of operator, determine the ways of compact prototype creation and script of man body motion in space. Description of different types of movable platforms, geometry of the spherical motion platform on the basis of the four-bar linkage and its three-dimensional model has been presented

Contextual and active learning-based affect-sensing from virtual drama improvisation

Affect interpretation from open-ended drama improvisation is a challenging task. This article describes experiments in using latent semantic analysis to identify discussion themes and potential target audiences for those improvisational inputs without strong affect indicators. A context-based affect-detection is also implemented using a supervised neural network with the consideration of emotional contexts of most intended audiences, sentence types, and interpersonal relationships. In order to go beyond the constraints of predefined scenarios and improve the system's robustness, min-margin-based active learning is implemented. This active learning algorithm also shows great potential in dealing with imbalanced affect classifications. Evaluation results indicated that the context-based affect detection achieved an averaged precision of 0.826 and an averaged recall of 0.813 for affect detection of the test inputs from the Crohn's disease scenario using three emotion labels: positive, negative, and neutral, and an averaged precision of 0.868 and an average recall of 0.876 for the test inputs from the school bullying scenario. Moreover, experimental evaluation on a benchmark data set for active learning demonstrated that active learning was able to greatly reduce human annotation efforts for the training of affect detection, and also showed promising robustness in dealing with open-ended example inputs beyond the improvisation of the chosen scenarios