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MICHAL PTASZYNSKI
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Name
Affiliation
Papers
MICHAL PTASZYNSKI
High-Tech Research Center, Hokkai-Gakuen University, Sapporo, Hokkaido, Japan
57
Collaborators
Citations
PageRank
64
132
25.47
Referers
Referees
References
221
379
226
Search Limit
100
379
Publications (57 rows)
Collaborators (64 rows)
Referers (100 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
Does Change In Ethical Education Influence Core Moral Values? Towards History- And Culture-Aware Morality Model With Application In Automatic Moral Reasoning
0
0.34
2021
Can you fool AI by doing a 180? — A case study on authorship analysis of texts by Arata Osada
0
0.34
2021
Development of a dialogue-based guidance system for narrow area navigation
0
0.34
2021
Machine Learning and feature engineering-based study into sarcasm and irony classification with application to cyberbullying detection
2
0.38
2021
Improving classifier training efficiency for automatic cyberbullying detection with Feature Density
0
0.34
2021
Future prediction with automatically extracted morphosemantic patterns
0
0.34
2020
Epistolary Education in 21st Century - A System to Support Composition of E-mails by Students to Superiors in Japanese.
0
0.34
2020
HEMOS: A novel deep learning-based fine-grained humor detecting method for sentiment analysis of social media
1
0.36
2020
How Religion and Morality Correlate in Age of Society 5.0: Statistical Analysis of Emotional and Moral Associations with Buddhist Religious Terms Appearing on Japanese Blogs
0
0.34
2020
A method for automatic estimation of meaning ambiguity of emoticons based on their linguistic expressibility
0
0.34
2020
Improving Basic Natural Language Processing Tools For The Ainu Language
0
0.34
2019
Emoji-Aware Attention-based Bi-directional GRU Network Model for Chinese Sentiment Analysis.
0
0.34
2019
Brute - Force Sentence Pattern Extortion from Harmful Messages for Cyberbullying Detection.
0
0.34
2019
Language Sense and Communication on Computer
0
0.34
2019
Mingmatch-A Fast N-Gram Model For Word Segmentation Of The Ainu Language
0
0.34
2019
Emotional and Moral Impressions Associated with Buddhist Religious Terms in Japanese Blogs-Preliminary Analysis.
0
0.34
2019
A Novel Machine Learning-based Sentiment Analysis Method for Chinese Social Media Considering Chinese Slang Lexicon and Emoticons.
0
0.34
2019
Automatically Estimating Meaning Ambiguity of Emoticons.
0
0.34
2019
Emoticon-Aware Recurrent Neural Network Model for Chinese Sentiment Analysis
1
0.37
2018
Cyberbullying Detection - Technical Report 2/2018, Department of Computer Science AGH, University of Science and Technology.
0
0.34
2018
A Method for Detecting Harmful Entries on Informal School Websites Using Morphosemantic Patterns.
0
0.34
2017
Learning Deep on Cyberbullying is Always Better Than Brute Force.
0
0.34
2017
Towards Better Text Processing Tools for the Ainu Language.
0
0.34
2017
Advances in Curling Game Information Analysis by Considering Starting Position.
0
0.34
2017
A Method For Extraction Of Future Reference Sentences Based On Semantic Role Labeling
2
0.42
2016
Automatic extraction of future references from news using morphosemantic patterns with application to future trend prediction.
0
0.34
2016
Informatics to Support Tactics and Strategies in Curling.
0
0.34
2016
Automatic Extraction of Harmful Sentence Patterns with Application in Cyberbullying Detection.
0
0.34
2015
Toward curling informatics — Digital scorebook development and game information analysis
0
0.34
2015
Brute Force Works Best Against Bullying.
1
0.38
2015
Investigation of Future Reference Expressions in Trend Information.
0
0.34
2014
Emotive or Non-emotive: That is The Question.
0
0.34
2014
Automatically annotating a five-billion-word corpus of Japanese blogs for sentiment and affect analysis
7
0.50
2014
Detecting Emotive Sentences with Pattern-based Language Modelling.
0
0.34
2014
Macroanalysis of Microblogs: An Empirical Study of Communication Strategies on Twitter During Disasters and Elections
0
0.34
2014
Emotive or Non-emotive: That is The Question
1
0.41
2014
Using Time Periods Comparison for Eliminating Chronological Discrepancies between Question and Answer Candidates at QALab NTCIR11 Task.
0
0.34
2014
Towards Computational Fronesis: Verifying Contextual Appropriateness of Emotions
1
0.41
2013
Affect analysis in context of characters in narratives
4
0.40
2013
Detecting Cyberbullying Entries on Informal School Websites Based on Category Relevance Maximization.
2
0.69
2013
Part-of-speech tagger for Ainu language based on higher order Hidden Markov Model
1
0.38
2012
Automatically annotating a five-billion-word corpus of Japanese blogs for affect and sentiment analysis
2
0.36
2012
Reducing excessive amounts of data: multiple web queries for generation of pun candidates
1
0.39
2011
Multi-humoroid: joking system that reacts with humor to humans' bad moods
1
0.39
2010
Multiagent system for joke generation: Humor and emotions combined in human-agent conversation
8
0.79
2010
CAO: A Fully Automatic Emoticon Analysis System Based on Theory of Kinesics
14
1.21
2010
Evaluating Subjective Aspects of HCI on an Example of a Non-Task Oriented Conversational System
3
0.41
2010
Contextual affect analysis: a system for verification of emotion appropriateness supported with Contextual Valence Shifters
4
0.41
2010
Serious processing for frivolous purpose: a chatbot using web-mining supported affect analysis and pun generation
0
0.34
2009
A Pragmatic Approach to Implementation of Emotional Intelligence in Machines.
1
0.37
2009
1
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