2024/05/23 更新

写真a

オーマン エミリー
オーマン エミリー
所属
国際学術院 国際教養学部
職名
講師(専任)

経歴

  • 2024年04月
    -
    継続中

    LUT University   Master's programme in Social Sciences and Communication Sciences   Visiting Professor

  • 2021年04月
    -
    継続中

    早稲田大学   国際教養学部   講師

  • 2020年12月
    -
    2021年03月

    Tampere University   Faculty of Information Technology and Communication Sciences   Intimacy in Data-driven Culture   Postdoc

  • 2020年09月
    -
    2021年03月

    University of Helsinki / Tampere University / Consumer Society Research Centre   Unconventional Communicators in the Corona Crisis (UnCoCo)   Postdoc

    Group grant

  • 2016年01月
    -
    2021年03月

    University of Helsinki   Department of Digital Humanities   PhD project in Language Technology   Doctoral Student

  • 2014年09月
    -
    2015年12月

    University of Helsinki   Department of English   Language Change Database   Research Assistant

  • 2004年
    -
    2005年

    Gothenburg University   Department of Linguistics   European Intercultural Workplace: Sweden

▼全件表示

学歴

  • 2016年01月
    -
    2021年03月

    University of Helsinki   Department of Digital Humanities - Language Technology   PhD  

    "The Language of Emotions: Building and Applying Resources for Computational Approaches to Emotion Detection for English and Beyond"

  • 2016年
    -
    2021年

    University of Helsinki   HYPE (Centre for University Teaching and Learning)   30 credits of University pedagogy  

  • 2016年07月
     
     

    Instituto Superior Técnico (IST)   Lisbon Machine Learning Summer School  

  •  
    -
    2015年10月

    Linnaeus University   Department of English   MA in English Linguistics  

委員歴

  • 2023年10月
    -
    継続中

    Waseda University  Statistics & Data Science Education Review Committee

  • 2023年04月
    -
    継続中

    早稲田大学  紀要編集委員会

  • 2021年04月
    -
    継続中

    Waseda University  The Coordination Team for Compulsory Statistics Courses

  • 2021年04月
    -
    2023年10月

    早稲田大学  統計学教育検討委員会

  • 2017年
    -
    2021年

    University of Helsinki  Ethics committee

  • 2017年
    -
    2021年

    University of Helsinki  Teaching Evaluation Committee

▼全件表示

所属学協会

  • 2021年
    -
    継続中

    Japanese Association for Digital Humanities

  • 2020年
    -
    継続中

    European Association for Digital Humanities

  • 2018年
    -
    継続中

    Alliance of Digital Humanities Organizations (ADHO)

  • 2018年
    -
    継続中

    Rajapinta ry (Computational Social Science)

  • 2018年
    -
    継続中

    Digital Humanities in the Nordic and Baltic Countries

研究分野

  • 科学教育 / 図書館情報学、人文社会情報学 / 高等教育学 / 言語学 / 計算科学

研究キーワード

  • sentiment analysis, emotion detection, digital humanities, language technology, computational social science, computational literary studies, NLP, machine learning, social media analysis, hate speech detection, digital research ethics, affect studies

受賞

  • 第12回WASEDA e-Teaching Award 大賞

    2023年09月   早稲田大学  

  • Small grants

    2020年11月   European Association for Digital Humanities   Python for digital humanities  

  • Future Digileader

    2020年11月   KTH Royal Institute of Technology, Digital Futures research center, Sweden   Future Digileader  

メディア報道

  • 大規模クラスで、「足場かけ (scaffolding)」と反転授業を用い、理解度が異なる学生をサポート

    会誌・広報誌

    執筆者: 本人以外  

    早稲田大学 大学総合研究センター  

    2023年11月

  • Lectio praecursoria: The Language of Emotions

    インターネットメディア

    Rajapinta ry. (Computational social science academic society)  

    https://rajapinta.co/2021/04/30/lectio-praecursoria-the-language-of-emotions/  

    2021年04月

  • Uusilla metodeilla voi analysoida tekstin tunnelatauksia entistä paremmin

    インターネットメディア

    執筆者: 本人以外  

    2021年02月

  • The digital as fieldwork for historical researchers

    インターネットメディア

    執筆者: 本人以外  

    https://journal.fi/ennenjanyt/article/view/108931/63923?acceptCookies=1  

    2018年

 

論文

  • Contrasting the semantic space of ‘shame’ and ‘guilt’ in English and Japanese

    Eugenia Diegoli, Emily Öhman

    Language and Cognition     1 - 23  2024年03月  [査読有り]

     概要を見る

    Abstract

    This article sheds light on the significant yet nuanced roles of shame and guilt in influencing moral behaviour, a phenomenon that became particularly prominent during the COVID-19 pandemic with the community’s heightened desire to be seen as moral. These emotions are central to human interactions, and the question of how they are conveyed linguistically is a vast and important one. Our study contributes to this area by analysing the discourses around shame and guilt in English and Japanese online forums, focusing on the terms shame, guilt, haji (‘shame’) and zaiakukan (‘guilt’). We utilise a mix of corpus-based methods and natural language processing tools, including word embeddings, to examine the contexts of these emotion terms and identify semantically similar expressions. Our findings indicate both overlaps and distinct differences in the semantic landscapes of shame and guilt within and across the two languages, highlighting nuanced ways in which these emotions are expressed and distinguished. This investigation provides insights into the complex dynamics between emotion words and the internal states they denote, suggesting avenues for further research in this linguistically rich area.

    DOI

    Scopus

  • EmotionArcs: Emotion Arcs for 9,000 Literary Texts

    Emily Ohman, Yuri Bizzoni, Pascal Feldkamp Moreira, Kristoffer Nielbo

    Proceedings of LaTeCH-CLFL 2024, Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature    2024年03月  [査読有り]

    担当区分:筆頭著者, 責任著者

  • The Great Digital Humanities Disconnect: the Failure of DH publishing

    Emily Ohman, Michael Piotrowski, Mika Hamalainen

    Proceedings of the Joint International Conference Natural Language Processing for Digital Humanities and International Workshop on Computational Linguistics for Uralic Languages   3 ( 1 ) 132 - 137  2023年12月  [査読有り]

    担当区分:筆頭著者, 責任著者

  • Not Just Plot(ting)? A Comparison of Two Approaches for Understanding Narrative Text Dynamics

    Pascale Feldkamp Moreira, Yuri Bizzoni, Emily Ohman, Kristoffer Nielbo

    Proceedings of Computational Humanities Research Conference 2023 (CEUR-WS)    2023年12月  [査読有り]

  • Affect as a proxy for literary mood

    Emily Öhman, Riikka Rossi

    Journal of Data Mining & Digital Humanities   NLP4DH ( 7 )  2023年08月  [査読有り]  [招待有り]

    担当区分:筆頭著者, 責任著者

    DOI

  • From hate speech recognition to happiness indexing: critical issues in datafication of emotion in text mining

    Laaksonen, S-M, Paakonen, J, Ohman,E

    Handbook of Critical Studies of Artificial Intelligence    2023年  [査読有り]

    担当区分:筆頭著者

  • The Validity of Lexicon-based Sentiment Analysis in Interdisciplinary Research

    Emily Ohman

    Proceedings of Natural Language Processing for Digital Humanities @ ICON 2021    2021年12月  [査読有り]

    担当区分:筆頭著者, 責任著者

  • The Language of Emotions

    Öhman Emily

       2021年03月  [査読有り]  [国際誌]

    担当区分:筆頭著者, 責任著者

     概要を見る

    Emotions have always been central to the human experience: the ancient Greeks had philosophical debates about the nature of emotions and Charles Darwin can be said to have founded the modern theories of emotions with his study The expression of the emotions in man and animals. Theories of emotion are still actively researched in many different fields from psychology, cognitive science, and anthropology to computer science.

    Sentiment analysis usually refers to the use of computational tools to identify and extract sentiments and emotions from various modalities. In this dissertation, I use sentiment analysis in conjunction with natural language processing to identify, quantify, and classify emotions in text. Specifically, emotions are examined in multilingual settings using multidimensional models of emotions.

    Plutchik’s wheel of emotions and emotional intensities are used to classify emotions in parallel corpora via both lexical methods and supervised machine learning methods. By analyzing emotional language content in text, the connection between language and emotions can be better understood. I have developed new approaches to create a more equitable natural language processing approach for sentiment analysis, meaning the development and evaluation of massively multilingual annotated datasets, contributing to the provision of tools for under-resourced languages.

    This dissertation is comprised of ten articles on related topics in sentiment analysis. In these articles, I discuss lexicon-based methods and the creation of emotion and sentiment lexicons, the creation of datasets for supervised machine learning, the training of models for supervised machine learning, and the evaluation of such models. I also examine the annotation process in relation to creating datasets in-depth, including the creation of
    a lightweight easily deployed annotation platform. As an additional step, I test the different approaches in downstream applications.

    These practical applications include the study of political party rhetoric from the perspective of emotion words used and the intensities of those emotion words. I also examine how simple lexicon-based methods can be used to make the study of affect in literature less subjective. Additionally, I attempt to link sentiment analysis with hate speech detection and offensive speech target identification.

    The main contribution of this dissertation is in providing tools for sentiment analysis and in demonstrating how these tools can be augmented for use in a wide variety of languages and practical applications at low cost.

  • XED: A Multilingual Dataset for Sentiment Analysis and Emotion Detection.

    Emily Öhman, Marc Pàmies, Kaisla Kajava, Jörg Tiedemann

    Proceedings of the 28th International Conference on Computational Linguistics(COLING)     6542 - 6552  2020年  [査読有り]

    担当区分:筆頭著者, 責任著者

    DOI

  • Creating a Dataset for Multilingual Fine-grained Emotion-detection Using Gamification-based Annotation.

    Emily Öhman, Kaisla Kajava, Jörg Tiedemann, Timo Honkela

    Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis(WASSA@EMNLP)     24 - 30  2018年  [査読有り]

    担当区分:筆頭著者, 責任著者

    DOI

  • OZemi at SemEval-2024 Task 1: A Simplistic Approach to Textual Relatedness Evaluation Using Transformers and Machine Translation

    Hidetsune Takahashi, Xingru Lu, Sean Ishijima, Seo Deokgyu, Kim Yongju, Park Sehoon, Min Song, Kathylene Marante, Keitaro-Luke Iso, Hirotaka Tokura, Emily Ohman

    Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)    2024年  [査読有り]

    担当区分:最終著者, 責任著者

  • Unearthing Emotions: Analyzing Ancient Roman Inscriptions with NLP

    Jun Ogawa, Yuko Fukuyama, Emily Ohman

    Lightning Proceedings of NLP4DH and IWCLUL 2023   1 ( 1 ) 18 - 22  2023年12月  [査読有り]

    担当区分:最終著者, 責任著者

  • Affective Queer Narratives on Japanese Online Fora

    Emily Ohman

    Proceedings of JADH conference, vol.2023     42 - 43  2023年09月  [査読有り]

    担当区分:筆頭著者, 責任著者

  • Computational Exploration of the Origin of Mood in Literary Texts

    Emily Ohman, Riikka Rossi

    Proceedings of the 2nd International Workshop on Natural Language Processing for Digital Humanities @ AACL 2022   2  2022年11月  [査読有り]

    担当区分:筆頭著者, 責任著者

  • Strategic sentiments and emotions in post-Second World War party manifestos in Finland

    Koljonen, J., {\"O}hman, E., Ahonen, P., Mattila, M.

    Journal of Computational Social Science   5 ( 2 ) 1529 - 1554  2022年11月  [査読有り]

     概要を見る

    Abstract

    We contribute to the growing number of studies on emotions and politics by investigating how political parties strategically use sentiments and emotions in party manifestos. We use computational methods in examining changes of sentiments and emotions in Finnish party manifestos from 1945 to 2019. We use sentiment and emotion lexicons first translated from English into Finnish and then modified for the purposes of our study. We analyze how the use of emotions and sentiments differs between government and opposition parties depending on their left/right ideology and the specific type of party manifesto. In addition to traditional sentiment and emotion analysis, we use emotion intensity analysis. Our results indicate that in Finland, government and opposition parties do not differ substantially from each other in their use of emotional language. From a historical perspective, the individual emotions used in party manifestos have persisted, but changes have taken place in the intensity of using emotion words. We also find that in comparison with other parties, populist parties both appeal to different emotions and appeal to the same emotions with different intensities.

    DOI

    Scopus

    4
    被引用数
    (Scopus)
  • Hate speech, Censorship, and Freedom of Speech: The Changing Policies of Reddit

    Elissa Nakajima Wickham, Emily Öhman

    Journal of Data Mining & Digital Humanities    2022年05月  [査読有り]

    担当区分:責任著者

    DOI

  • SELF & FEIL: Emotion Lexicons for Finnish

    Öhman Emily

    Proceedings of the 6th Digital Humanities in the Nordic and Baltic Countries Conference (DHNB 2022), Uppsala, Sweden, March 15-18, 2022.    2022年  [査読有り]

    担当区分:筆頭著者, 責任著者

     概要を見る

    This paper introduces a Sentiment and Emotion Lexicon for Finnish (SELF) and a Finnish Emotion Intensity Lexicon (FEIL). We describe the lexicon creation process and evaluate the lexicon using some commonly available tools. The lexicon uses annotations projected from the NRC Emotion Lexicon with carefully edited translations. To our knowledge, this is the first comprehensive sentiment and emotion lexicon for Finnish.

  • Japanese Beauty Marketing on Social Media: Critical Discourse Analysis Meets NLP

    Emily Ohman, Amy Grace Metcalfe

    Proceedings of Natural Language Processing for Digital Humanities @ ICON 2021    2021年12月  [査読有り]

    担当区分:筆頭著者, 責任著者

  • Affect and Emotions in Finnish Literature

    Emily Öhman, Riikka Johanna Rossi

    The Language of Emotions     232 - 241  2021年

  • Emotion annotation: Rethinking emotion categorization

    Emily Öhman

    CEUR Workshop Proceedings   2865   134 - 144  2020年  [査読有り]

    担当区分:筆頭著者, 責任著者

     概要を見る

    One of the biggest hurdles for the utilization of machine learning in interdisciplinary projects is the need for annotated training data which is costly to create. Emotion annotation is a notoriously difficult task, and the current annotation schemes which are based on psychological theories of human interaction are not always the most conducive for the creation of reliable emotion annotations, nor are they optimal for annotating emotions in the modality of text. This paper discusses the theory, history, and challenges of emotion annotation, and proposes improvements for emotion annotation tasks based on both theory and case studies. These improvements focus on rethinking the categorization of emotions and the overlap and disjointedness of emotion categories.

  • LT@Helsinki at SemEval-2020 Task 12: Multilingual or Language-specific BERT?

    Marc Pàmies, Emily Öhman, Kaisla Kajava, Jörg Tiedemann

    Proceedings of the Fourteenth Workshop on Semantic Evaluation(SemEval@COLING)     1569 - 1575  2020年  [査読有り]

    担当区分:責任著者

  • Challenges in annotation: Annotator experiences from a crowdsourced emotion annotation task

    Emily Öhman

    CEUR Workshop Proceedings   2612   293 - 301  2020年  [査読有り]

    担当区分:筆頭著者, 責任著者

     概要を見る

    With the prevalence of machine learning in natural language processing and other fields, an increasing number of crowd-sourced data sets are created and published. However, very little has been written about the annotation process from the point of view of the annotators. This pilot study aims to help fill the gap and provide insights into how to maximize the quality of the annotation output of crowd-sourced annotations with a focus on fine-grained sentence-level sentiment and emotion annotation from the annotators point of view.

  • Emotion preservation in translation: Evaluating datasets for annotation projection

    Kaisla Kajava, Emily Öhman, Piao Hui, Jörg Tiedemann

    CEUR Workshop Proceedings   2612   38 - 50  2020年  [査読有り]

    担当区分:責任著者

     概要を見る

    This paper is a pilot study that aims to explore the viability of annotation projection from one language to another as well as to evaluate the multilingual data set we have created for emotion analysis. We study different language pairs based on parallel corpora for sentiment and emotion annotations and explore annotator agreement. We show that the data source is a possible one for reliable L1 data to be used in annotation projection from high-resource languages, such as English, into low-resource languages and that this is a reliable way of creating data sets for fine-grained sentiment analysis and emotion detection.

  • Teaching computational methods to humanities students

    Emily Öhman

    CEUR Workshop Proceedings   2364   479 - 493  2019年  [査読有り]

    担当区分:筆頭著者, 責任著者

     概要を見る

    This paper discusses the academic and societal implications of teaching computational methods to humanities students from the perspective of digital humanities. Pedagogical choices are backed up by both pedagogical theory and concrete examples from actual courses and course feedback. The aim of this paper is to introduce clear best-practice recommendations for developing digital humanities teaching with an emphasis on methods teaching in order to increase the number of students who understand such methods and can apply them to their own projects.

  • Sentimentator: Gamifying fine-grained sentiment annotation

    Emily Öhman, Kaisla Kajava

    CEUR Workshop Proceedings   2084   98 - 110  2018年  [査読有り]

    担当区分:筆頭著者, 責任著者

     概要を見る

    We introduce Sentimentator; a publicly available gamified web-based annotation platform for fine-grained sentiment annotation at the sentence-level. Sentimentator is unique in that it moves beyond binary classification. We use a tendimensional model which allows for the annotation of 51 unique sentiments and emotions. The platform is gamified with a complex scoring system designed to reward users for high quality annotations. Sentimentator introduces several unique features that have previously not been available, or at best very limited, for sentiment annotation. In particular, it provides streamlined multi-dimensional annotation optimized for sentence-level annotation of movie subtitles. Because the platform is publicly available it will benefit anyone and everyone interested in finegrained sentiment analysis and emotion detection, as well as annotation of other datasets.

  • Language Change Database: a new online resource

    Terttu Nevalainen, Turo Anssi Kalevi Vartiainen, Tanja Säily, Joonas Kesäniemi, Agata Anna Dominowska, Emily Öhman

    ICAME journal   40 ( 1 ) 77 - 94  2016年04月  [査読有り]

     概要を見る

    We introduce the Language Change Database (LCD), which provides access to the results of previous corpus-based research dealing with change in the English language. The LCD will be published on an open-access linked data platform that will allow users to enter information about their own publications into the database and to conduct searches based on linguistic and extralinguistic parameters. Both metadata and numerical data from the original publications will be available for download, enabling systematic reviews, meta-analyses, replication studies and statistical modelling of language change. The LCD will be of interest to scholars, teachers and students of English.

    DOI

  • The Challenges of Multi-dimensional Sentiment Analysis Across Languages.

    Emily Öhman, Timo Honkela, Jörg Tiedemann

    Proceedings of the Workshop on Computational Modeling of People's Opinions, Personality, and Emotions in Social Media(PEOPLES@COLING)     138 - 142  2016年  [査読有り]

    担当区分:筆頭著者, 責任著者

  • Recent Changes in Indefinite Pronouns with Human Reference: A diachronic corpus study of 200 years of -one/-body and -man indefinite pronoun variation in Late Modern and Present-day English

    Emily Ohman

       2015年

    担当区分:筆頭著者

  • European intercultural workplace: Sverige

    Allwood, Jens, Berbyuk-Lindstrom,Natalia, Borjesson, Margrethe, Edeback, Charlotte, Myhre, Randi, Voionmaa, Kaarlo, Ohman, Emily

       2007年

▼全件表示

書籍等出版物

  • Text Analytics

    ( 担当: 単著)

    Sage Publishing  2024年11月

  • Proceedings of the Joint 3rd International Conference on Natural Language Processing for Digital Humanities and 8th International Workshop on Computational Linguistics for Uralic Languages

    Mika Hämäläinen, Emily Öhman, Khalid Alnajjar, So Miyagawa, Yuri Bizzoni, Flammie Pirinen, Jack Rueter, Niko Partanen( 担当: 共編者(共編著者))

    ACL Anthology  2023年12月 ISBN: 9798891760127

  • Lightning Proceedings of NLP4DH and IWCLUL 2023

    Mika Hämäläinen, Emily Öhman, Khalid Alnajjar( 担当: 編集,  担当範囲: Editor)

    https://zenodo.org/records/10214495  2023年12月 ISBN: 9789526536903

  • Handbook of Critical Studies of Artificial Intelligence

    Emily Ohman, Juho Paakkonen, Salla-Maaria Laaksonen( 担当: 分担執筆,  担当範囲: Chapter author)

    Edward Elgar  2023年11月 ISBN: 9781803928555

  • The Language of Emotions: Building and Applying Resources for Computational Approaches to Emotion Detection for English and Beyond

    ( 担当: 単著)

    UniGrafia (University of Helsinki)  2021年03月 ISBN: 9789515171054

Works(作品等)

  • FEIL (Finnish Emotion Intensity Lexicon)

    Emily Ohman  その他 

    2020年
    -
    2021年

  • SELF (Sentiment and Emotion Lexicon for Finnish)

    Emily Öhman  その他 

    2020年
    -
    2021年

  • XED multilingual emotion-annotated dataset

    Emily Ohman, Kaisla Kajava, Marc Pàmies, Jörg Tiedemann  データベース 

    2020年
    -
    2021年

  • Sentimentator (dockerized sentiment annotation tool)

    Emily Ohman, Kaisla Kajava  ソフトウェア 

    2018年
     
     

講演・口頭発表等

  • Datafication of Affect: methodological, theoretical and epistemological concerns

    Emily Ohman  [招待有り]

    HelDig Research Seminar (University of Helsinki)  

    発表年月: 2023年09月

  • Affective Queer Narratives on Japanese Online Fora

    Emily Ohman

    Japanese Association of Digital Humanities 2023  

    発表年月: 2023年09月

  • Affective Datafication of Narratives: measuring affect, emotion, and mood in literary texts

    Emily Ohman  [招待有り]

    WASSA 2023 @ ACL  

    発表年月: 2023年07月

  • The Validity of Lexicon-based Emotion Analysis in Interdisciplinary Research

    Emily Ohman

    NLP4DH @ ICON'21  

    発表年月: 2021年12月

  • Panel: Current approaches to Digital Humanities. Researches of the EADH Small Grants 2020 recipients

    Rada Varga, Anna-Maria Sichani, Merisa Martinez, Emily Ohman, Annamária –, Izabella Pázsint, Gamze Saygi, Oksana Maistat, Ilia Uchitel, Kathryn Simpson  [招待有り]

    European Association for Digital Humanities  

    発表年月: 2021年09月

  • AI for the Environment

    Emily Ohman  [招待有り]

    Finnish Environment Institute  

    発表年月: 2021年02月

  • XED: A Multilingual Dataset for Sentiment Analysis and Emotion Detection

    Emily Ohman, Kaisla Kajava, Marc Pamies  [招待有り]

    International Conference on Computational Linguistics (COLING)  

    発表年月: 2020年12月

  • Hate Speech, Offensive Speech, and Moderation of Online Fora: A Computational Perspective

    Emily Ohman  [招待有り]

    LUT University  

    発表年月: 2024年04月

  • Mining Social Media Data for Insights into Language Use

    Emily Ohman  [招待有り]

    Language of Social Media course at University of Helsinki  

    発表年月: 2023年12月

  • Unearthing Emotions: Analyzing Ancient Roman Inscriptions with NLP

    Jun Ogawa, Yuko Fukuyama, Emily Ohman

    The 3rd NLP4DH & 8th IWCLUL Conference 2023  

    発表年月: 2023年12月

  • 早稲田大学で大人数のDH プログラミングコースの仕組み

     [招待有り]

    国際シンポジウム デジタル・ヒューマニティーズと研究基盤  

    発表年月: 2023年11月

  • Best Practices: Scaffolding for Large Programming Classes

    Emily Ohman  [招待有り]

    EduLunch: Waseda University  

    発表年月: 2023年11月

  • Online Reaction towards ChatGPT Ban from Education

    Nicole Miu Takagi, Emily Ohman

    Japanese Association of Digital Humanities 2023  

    発表年月: 2023年09月

  • Data Science and Visualization in Japanese Studies

    Emily Ohman  [招待有り]

    BINUS 2023 Digital Japanese Studies Symposium  

    発表年月: 2023年03月

  • Computational Exploration of the Origin of Mood in Literary Texts

    Emily Ohman

    2nd International Workshop on Natural Language Processing for Digital Humanities  

    発表年月: 2022年11月

  • Sentiment analysis: Critical approaches

    Salla-Maaria Laaksonen, Juho, Pääkkönen, Emily Öhman

    RAJAPINTAPÄIVÄT 2022  

    発表年月: 2022年11月

  • Strategic sentiments and emotions in post-Second World War party manifestos in Finland

    Juha Koljonen, Emily Ohman  [招待有り]

    RAJAPINTAPÄIVÄT 2022  

    発表年月: 2022年11月

  • Sentiment analysis for interdisciplinary projects

    Emily Ohman  [招待有り]

    SILS Faculty Research Seminar  

    発表年月: 2022年11月

  • An International Perspective on Creating an Army of Hacker-Scholars

    Emily Ohman

    Digital Humanities 2022  

    発表年月: 2022年07月

  • SELF & FEIL: Emotion lexicons for Finnish

    Emily Ohman

    Digital Humanities in the Nordic and Baltic Countries  

    発表年月: 2022年03月

  • Japanese Beauty Marketing on Social Media: Critical Discourse Analysis Meets NLP

    Amy Grace Metcalfe, Emily Ohman

    NLP4DH @ ICON'21  

    発表年月: 2021年12月

  • What to expect from an academic career?

    Maryam Elahi, Naveen Bagalkot, Emily Ohman  [招待有り]

    Future Digileaders  

    発表年月: 2021年10月

  • Skin Deep: Exploring ideals of Japanese beauty through social media

    Amy Grace Metcalfe, Emily Ohman

    Japanese Association for Digital Humanities Conference 2021  

    発表年月: 2021年09月

  • AI Ethics and Applications in Finance

    Emily Ohman  [招待有り]

    INDEX Varainhoito  

    発表年月: 2021年09月

  • Challenges in Annotation: Annotator Experiences from a Crowdsourced Emotion Annotation Task

    Emily Ohman

    Digital Humanities in the Nordic Countries  

    発表年月: 2020年10月

  • Emotion Preservation in Translation: Evaluating Datasets for Annotation Projection

    Emily Ohman, Kaisla Kajava

    Digital Humanities in the Nordic Countries  

    発表年月: 2020年10月

  • Workshop leader on minimizing bias in machine learning algorithms

    Emily Ohman

    Rajapinta days (computational social science conference)  

    発表年月: 2019年11月

  • Towards the Inevitable Demise of Everybody? A multifactorial analysis of -one/-body/-man variation in indefinite pronouns in historical American English

    Emily Ohman, Tanja Säily, Mikko Laitinen

    ICAME40  

    発表年月: 2019年06月

  • Teaching Computational Methods to Humanities Students

    Emily Ohman

    Digital Humanities in the Nordic Countries  

    発表年月: 2019年02月

  • Introducing Sentimentator for Social Sciences

    Emily Ohman

    Rajapinta days (computational social science conference)  

    発表年月: 2018年11月

  • Multilingual Emotion Analysis

    Emily Ohman

    DigHum: Academy of Finland & JSPS  

    発表年月: 2018年11月

  • Creating a Dataset for Multilingual Fine-grained Emotion-detection Using Gamification-based Annotation

    Ohman Emily

    EMNLP  

    発表年月: 2018年10月

  • Computational Bias and AI Ethics

    Emily Ohman  [招待有り]

    AI in Education @ Stanford University  

    発表年月: 2018年10月

  • Sentimentator: A Sentiment and Emotion Annotation Platform

    Emily Ohman, Kaisla Kajava

    Digital Humanities in the Nordic Countries  

    発表年月: 2018年03月

  • Mitigating Bias in Machine Learning Applications

    Emily Ohman

    AI in Education @ University of Helsinki  

    発表年月: 2018年02月

  • The Challenges of Multi-dimensional Sentiment Analysis Across Languages

    Emily Ohman

    CoLing  

    発表年月: 2016年12月

  • Lexicon-based Multilingual Sentiment Analysis

    Emily Ohman  [招待有り]

    FIN-CLARIN  

    発表年月: 2016年06月

  • "Language Change Database: a new online resource"

    Emily Ohman, Agata Dominovska

    From Data to Evidence  

    発表年月: 2015年10月

▼全件表示

共同研究・競争的資金等の研究課題

  • Culture-specific emotions and literature: conceptual modelling and new methods in the light of literature of the Finnish North (STRANGENORTH)

    The Academy of Finland 

    研究期間:

    2023年
    -
    2028年
     

    Riikka Rossi, Elise Nykänen

  • EmoMap: Emotion Mapping in Semantic Space

    Japan Society for the Promotion of Science 

    研究期間:

    2024年04月
    -
    2027年03月
     

  • 応用研究における感情検出のための文脈的単語埋め込み

    早稲田大学  2024年度PI飛躍プログラム

    研究期間:

    2024年04月
    -
    2027年03月
     

  • Negative emotions in literature: a computational approach to tone and mood

    日本学術振興会  2022年度 若手研究

    研究期間:

    2022年04月
    -
    2024年03月
     

    OHMAN Emily

  • Establishing Japanese Natural Language Processing for Digital Humanities at SILS

    早稲田大学  特定課題

    研究期間:

    2022年06月
    -
    2023年03月
     

  • Applied NLP: Creation of an interactive on-demand programming course for practical NLP

    早稲田大学  特定課題

    研究期間:

    2022年04月
    -
    2023年03月
     

  • Digital Humanities and Interdisciplinary Research

    早稲田大学  特定課題

    研究期間:

    2021年06月
    -
    2022年03月
     

  • Unconventional Communicators in the COVID crisis

    Helsingin Sanomain Saatio 

    研究期間:

    2020年
    -
    2022年
     

    Salla-Maaria Laaksonen, Juho Paakkonen, Emily Ohman, Essi Poyry,Hanna Reinikainen

  • Intimacy in Data-driven Culture

    Academy of Finland 

    研究期間:

    2020年
    -
    2021年03月
     

    Anu Koivunen, Kaarina Nikunen

  • 博士

    University of Helsinki 

    研究期間:

    2016年01月
    -
    2020年11月
     

▼全件表示

 

現在担当している科目

担当経験のある科目(授業)

  • Social Media and Data Analysis

    早稲田大学  

    2021年09月
    -
    継続中
     

  • Pythonプログラミング

    早稲田大学  

    2021年04月
    -
    継続中
     

  • デジテルヒュマニティーズ入門

    早稲田大学  

    2021年04月
    -
    継続中
     

  • Methods for Digital Humanities

    早稲田大学  

    2021年04月
    -
    継続中
     

  • Linguistic Data: Analysis and Visualization

    Graduate School of International Culture and Communication  

    2023年09月
    -
    2024年02月
     

  • Introductory Statistics

    Waseda University SILS  

    2022年04月
    -
    2022年08月
     

  • Citizen Science: Crowd-sourcing as a Tool for Collecting Quantitative and Qualitative Data

    University of Helsinki  

    2021年01月
    -
    2021年04月
     

  • Digital Intimacy: Media, habits, and affect.

    Tampere University  

    2021年02月
     
     
     

  • Introduction to Language Technology

    University of Helsinki  

    2014年09月
    -
    2020年12月
     

  • Methods in Digital Humanities

    University of Helsinki  

    2016年09月
    -
    2016年12月
     

  • Modeling Meaning and Knowledge

    University of Helsinki  

    2016年01月
    -
    2016年06月
     

  • Project Course in English Linguistics

    University of Helsinki  

    2015年01月
    -
    2015年06月
     

▼全件表示

 

学術貢献活動

  • Peer review for Social Science Computer Review

    査読等

    2022年12月
    -
    継続中
  • Peer review for IEEE Transactions on Affective Computing

    査読等

    2022年04月
    -
    継続中
  • Peer review for Linguistic Vanguard

    査読等

    2022年
    -
    継続中
  • Peer review for Digital Humanities Quarterly

    査読等

    2021年
    -
    継続中
  • Program committee member, NLP4DH

    大会・シンポジウム等

    2021年
    -
    継続中
  • Peer review for DHNB

    査読等

    2021年
    -
    継続中
  • Peer review for EMNLP

    査読等

    2020年
    -
    継続中
  • Peer review for EACL

    査読等

    2020年
    -
    継続中
  • Program Chair NLP4DH conference

    学会・研究会等

    2023年12月
     
     
  • 高等研究所3年目研究員による成果報告会

    審査・学術的助言

    早稲田高等研究所  

    2023年07月
     
     
  • Among Ancient Manuscripts (Panel Chair)

    学会・研究会等

    2022年10月
     
     
  • Conference session chair DH'22

    2022年07月
     
     
  • Peer review for NoDaLiDa

    査読等

    2019年
    -
    2021年
  • Peer review for DHNB

    査読等

    2019年
    -
    2021年
  • Member of steering group for digital development at the University of Helsinki

    その他

    2018年
    -
    2021年
  • Peer review for NAACL-HLT

    査読等

    2019年
     
     
  • MA thesis award committee

    大会・シンポジウム等

    2018年
     
     
  • Team leader of DH Hackathon

    大会・シンポジウム等

    2017年
     
     

▼全件表示

特定課題制度(学内資金)

  • Establishing Japanese Natural Language Processing for Digital Humanities at SILS

    2022年   Eugenia Diegoli

     概要を見る

    This project allowed me to work on Japanese NLP methods, which ultimately led to an article that will be published in the journal Language & Cognition:‘Shame’ and ‘guilt’ across languages: what language can tell us about emotions and the ideologies that motivate them.Furthermore, I have incorporated more Japanese NLP methods (such as segmentation) into my course contents to further establish Japanese NLP at SILS.

  • Applied NLP: Creation of an interactive on-demand programming course for practical NLP

    2022年   Tuomo Hiippala

     概要を見る

    For this project, I created short videos on specific programming concepts to be used in conjunction with interactive Python programming notebooks. These notebooks and videos are also partially used in my own programming courses at Waseda University, but the contents are open to everyone and anyone. I presented on this topic at the international Digital Humanities conference in July 2022: "An International Perspective on Creating an Army of Hacker-Scholars".

  • Digital Humanities and Interdisciplinary Research

    2021年   Amy-Grace Metcalfe, Elissa Nakajima Wickham

     概要を見る

    The Tokutei Kadai research grant allowed me to set up a research base for interdisciplinary collaborative research at Waseda University, specifically SILS and GSICCS, which resulted in several projects, publications, and conference presentations. Specifically, we collected and modeled social media data on Japanese beauty ideals and hate speech moderation, combining my computational expertise with subject matter expertise at SILS and GSICCS. Furthermore, I was able to start collaborative work between Waseda University and researchers from other Japanese universities such as Kyoto University, Tokyo University, and Chiba University and presented some of my work at the Japanese Association for Digital Humanities conference.This research fund also allowed me to set up a research base and conduct the necessary preliminary research to be able to secure a JSPS Kakenhi grant for the years 2022-2024.