- Computer Science, Languages and Linguistics, Engineering, Artificial Intelligence, Philosophy of Mind, Philosophy Of Language, and 11 moreInformatics, Natural Language Processing, Emotion, Pragmatics, Corpus Linguistics, Computational Linguistics, Emotional intelligence, Affective Computing, Natural Language Generation, Computational Lings, and Emotion Recognitionedit
Due to the prevalence of social network service and social media, the problem of cyberbullying has risen to the forefront as a major social issue over the last decade. Internet hate, harassment, cyberstalking, cyberbullying—these terms,... more
Due to the prevalence of social network service and social media, the problem of cyberbullying has risen to the forefront as a major social issue over the last decade. Internet hate, harassment, cyberstalking, cyberbullying—these terms, which were almost unknown 10 years ago—are in the everyday lexicon of all internet users today. Unfortunately, it is becoming increasingly difficult to undertake continuous surveillance of websites as new ones are appearing daily. Methods for automatic detection and mitigation for online bullying have become necessary in order to retain comfortable user experience online.
Automatic Cyberbullying Detection: Emerging Research and Opportunities provides innovative insights into online bullying and methods of early identification, mitigation, and prevention of harassing speech and activity online. The book provides explanations and reasoning for each of these applied methods and discusses their pros and cons int he context of the language of online bullying. Also included are some generalizations of cyberbullying as a phenomenon and how to approach the problem from a practical technology-backed point of view. The content within this publication represents the work spanning over ten years and covers a wide range of artificial intelligence, machine learning and natural language processing methods applied to the problem of automatic cyberbullying detection, such as traditional machine learning, deep learning, web mining, or language combinatorics. The book is designed for researchers, academicians, social media moderators, IT consultants, programmers and education administrators and covers topics centered on methods of detection and mitigation of cyberbullying, and surrounding problems such as internet hate and online harassment.
Automatic Cyberbullying Detection: Emerging Research and Opportunities provides innovative insights into online bullying and methods of early identification, mitigation, and prevention of harassing speech and activity online. The book provides explanations and reasoning for each of these applied methods and discusses their pros and cons int he context of the language of online bullying. Also included are some generalizations of cyberbullying as a phenomenon and how to approach the problem from a practical technology-backed point of view. The content within this publication represents the work spanning over ten years and covers a wide range of artificial intelligence, machine learning and natural language processing methods applied to the problem of automatic cyberbullying detection, such as traditional machine learning, deep learning, web mining, or language combinatorics. The book is designed for researchers, academicians, social media moderators, IT consultants, programmers and education administrators and covers topics centered on methods of detection and mitigation of cyberbullying, and surrounding problems such as internet hate and online harassment.
Research Interests: Machine Learning, Web Mining, Affective Computing, Statistical Modeling of Language, Mobile application development, and 10 moreText Classification, Modeling Language, Mobile Applications and Web Applications development, Deep Learning, Affect Analysis, Cyberbullying Detection, Cyberbullying Mitigation, Internet Patrol, Language Combinatorics, and Automatic Cyberbullying Detection
This book describes my research on enhancing machines with Emotional Intelligence. I develop a set of affect analysis tools and propose methods for their efficient utilization. The first system, ML-Ask, separates emotive utterances from... more
This book describes my research on enhancing machines with Emotional Intelligence. I develop a set of affect analysis tools and propose methods for their efficient utilization. The first system, ML-Ask, separates emotive utterances from neutral and in the emotive utterances seeks for expressions of specific emotion types. The second system, CAO, extracts emoticons from input and determines the emotion types they express. The above systems are then utilized in two methods for enhancing of Human-Computer Interaction. The first is a method for automatic evaluation of conversational agents. In this method the information on user emotional engagement during conversation is reinterpreted to specify general attitudes to conversational agents. The second method determines whether emotions expressed by speaker are appropriate for the context of the conversation. The information on affective states of the user-speaker is confronted with gathered from the Internet list of emotions that should be expressed at the moment. I conclude the book with a discussion on other applications for the proposed methods and further work needed for full implementation of Emotional Intelligence in machines.
In this paper, we study language used by suicidal users on Reddit social media platform. To do that, we firstly collect a large-scale dataset of Reddit posts and annotate it with highly trained and expert annotators under a rigorous... more
In this paper, we study language used by suicidal users on Reddit social media platform. To do that, we firstly collect a large-scale dataset of Reddit posts and annotate it with highly trained and expert annotators under a rigorous annotation scheme. Next, we perform a multifaceted analysis of the dataset, including: (1) the analysis of user activity before and after posting a suicidal message, and (2) a pragmalinguistic study on the vocabulary used by suicidal users. In the second part of the analysis, we apply LIWC, a dictionary-based toolset widely used in psychology and linguistic research, which provides a wide range of linguistic category annotations on text. However, since raw LIWC scores are not sufficiently reliable, or informative, we propose a procedure to decrease the possibility of unreliable and misleading LIWC scores leading to misleading conclusions by analyzing not each category separately, but in pairs with other categories. The analysis of the results supported t...
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Ainu is a critically endangered language spoken by the native inhabitants of northern Japan. This paper describes our research aimed at the development of technology for automatic processing of text in Ainu. In particular, we improved the... more
Ainu is a critically endangered language spoken by the native inhabitants of northern Japan. This paper describes our research aimed at the development of technology for automatic processing of text in Ainu. In particular, we improved the existing tools for normalizing old transcriptions, word segmentation, and part-of-speech tagging. In the experiments we applied two Ainu language dictionaries from different domains (literary and colloquial) and created a new data set by combining them. The experiments revealed that expanding the lexicon had a positive impact on the overall performance of our tools, especially with test data unrelated to any of the training sets used.
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Word segmentation is an essential task in automatic language processing for languages where there are no explicit word boundary markers, or where space-delimited orthographic words are too coarse-grained. In this paper we introduce the... more
Word segmentation is an essential task in automatic language processing for languages where there are no explicit word boundary markers, or where space-delimited orthographic words are too coarse-grained. In this paper we introduce the MiNgMatch Segmenter—a fast word segmentation algorithm, which reduces the problem of identifying word boundaries to finding the shortest sequence of lexical n-grams matching the input text. In order to validate our method in a low-resource scenario involving extremely sparse data, we tested it with a small corpus of text in the critically endangered language of the Ainu people living in northern parts of Japan. Furthermore, we performed a series of experiments comparing our algorithm with systems utilizing state-of-the-art lexical n-gram-based language modelling techniques (namely, Stupid Backoff model and a model with modified Kneser-Ney smoothing), as well as a neural model performing word segmentation as character sequence labelling. The experiment...
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... In our previous works we showed that implementing a very simple pun genera-tor into a chatterbot can visibly improve its performance. ... One of the first and probably most robust sys-tems in the field of pun processing is... more
... In our previous works we showed that implementing a very simple pun genera-tor into a chatterbot can visibly improve its performance. ... One of the first and probably most robust sys-tems in the field of pun processing is Binsted's JAPE punning riddles generator (Binsted, 1996 ...
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Research Interests: Emotion, Human Computer Interaction, Emotional intelligence, Context Aware Technology Enhanced Learning, Web Mining, and 12 moreContext, Context-Aware Computing, Context-Aware Applications, Affect/Emotion, Affect (Cultural Theory), Context Awareness, Emotion Recognition, Context Aware, Affect Sensinng, Contextual Affect Analysis, Emotion Appropriateness, and Pedagogic Conversational Agent
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Pawel Dybala1, Michal Ptaszynski1, Rafal Rzepka1 and Kenji Araki1 fAbstract. Humor and emotions are strongly related to each other. Both these topics are recently gaining more and more attention from HCI researchers. Some of existing... more
Pawel Dybala1, Michal Ptaszynski1, Rafal Rzepka1 and Kenji Araki1 fAbstract. Humor and emotions are strongly related to each other. Both these topics are recently gaining more and more attention from HCI researchers. Some of existing research projects employ humor generating engines in conversational systems, in order to improve their interaction with humans. Evaluation of such joking systems is often related to users' emotions, ie their feelings towards the systems during and after the interaction. However, in human-human ...
Abstract. Thinking of the ways to improve naturalness and adequacy of utterances in conversational agents, the authors propose a dynamic database management system. The system borrows some features of the forgetting mechanisms in humans.... more
Abstract. Thinking of the ways to improve naturalness and adequacy of utterances in conversational agents, the authors propose a dynamic database management system. The system borrows some features of the forgetting mechanisms in humans. The core of the system, forgetting and recalling algorithms, depend on the frequency of usage of context units and their emotive values derived from evaluative reasoning about both sides of interaction-the agent and the user.
Abstract. Humor processing is quite an innovative area in intelligent agent technologies. In this chapter we present the results of our work on a multiagent joking conversational system, Which is able to use humor during non-constrained... more
Abstract. Humor processing is quite an innovative area in intelligent agent technologies. In this chapter we present the results of our work on a multiagent joking conversational system, Which is able to use humor during non-constrained conversations with humans, in reaction to their particular emotional states. Thus, this work combines the areas of humor processing, emotiveness analysis and dialogue agent technologies, being the first one to do so. We first describe the background of our study, including state of the art of research in the field of ...
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Abstract: Goroawase are Japanese word plays basing on combining various readings of numbers and symbols. This mechanism makes them potentially possible to compute and process with tools and methods of NLP. In this paper we give a brief... more
Abstract: Goroawase are Japanese word plays basing on combining various readings of numbers and symbols. This mechanism makes them potentially possible to compute and process with tools and methods of NLP. In this paper we give a brief description of the genre, analyze its mechanism, and propose an idea of PUNDA Numbears–a goroawase generating system. Being developed as a part of PUNDA-our research project on pun telling conversational systems for Japanese-PUNDA Numbears should be able to generate ...
This paper presents our work on annotating a 5.5 billion word corpus of Japanese blogs with affective information. In the annotation we used two systems for affect analysis: ML-Ask for analyzing words and sentences and CAO for analyzing... more
This paper presents our work on annotating a 5.5 billion word corpus of Japanese blogs with affective information. In the annotation we used two systems for affect analysis: ML-Ask for analyzing words and sentences and CAO for analyzing emoticons. The annotated information includes such features as emotive expressions, emotion classes, emoticons, valence and activation. The statistics of those annotations are presented and compared to other available emotion blog corpora.
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Abstract. In this paper we firstly discuss some of the presumptions about human conscience. By a detailed guidance throughout our ongoing research on morality judgment categories we make an attempt to summarize it and its usefulness for... more
Abstract. In this paper we firstly discuss some of the presumptions about human conscience. By a detailed guidance throughout our ongoing research on morality judgment categories we make an attempt to summarize it and its usefulness for creating an explicit moral reasoning agent with system based on the wisdom of the web-crowd. With special remarks on giving it a mathematically calculative structure and chances created by this approach alteration. 12
... In our previous works we showed that implementing a very simple pun genera-tor into a chatterbot can visibly improve its performance. ... One of the first and probably most robust sys-tems in the field of pun processing is... more
... In our previous works we showed that implementing a very simple pun genera-tor into a chatterbot can visibly improve its performance. ... One of the first and probably most robust sys-tems in the field of pun processing is Binsted's JAPE punning riddles generator (Binsted, 1996 ...