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Feelings from the Past - Adapting Affective Lexicons for Historical Emotion Analysis

Sven Buechel, Johannes Hellrich, Udo Hahn
2016 Workshop on Language Technology Resources and Tools for Digital Humanities  
We describe a novel method for measuring affective language in historical texts by expanding an affective lexicon and jointly adapting it to prior language stages.  ...  We automatically construct a lexicon for word-emotion association of 18th and 19th century German which is then validated against expert ratings.  ...  Acknowledgements This research was partly conducted within the Graduate School 'The Romantic Model' which is funded by grant GRK 2041/1 from the Deutsche Forschungsgemeinschaft (DFG).  ... 
dblp:conf/lt4dh/BuechelHH16 fatcat:r4etsyk545cfxjq3b72nlmfv5q

Recommender Systems supporting Decision Making through Analysis of User Emotions and Personality

Marco Polignano, Marco de Gemmis
2015 International Conference of the Italian Association for Artificial Intelligence  
In this paper we propose the idea of defining a framework for an Emotion-Aware Recommender System.  ...  The user emotions will be formalized in an affective user profile which can act as an emotional computational model.  ...  Sentiment analysis techniques [14] will be adapted to infer the user affective state (emotions, mood) from the analysis of social network posts.  ... 
dblp:conf/aiia/PolignanoG15 fatcat:gcxexqrt7jcenb5vuy5li5abei

Feeling like a State. The Sentiments Tide of Swiss Diplomacy through the Eye of the Algorithm

André Ourednik, Guido Koller, Peter Fleer, Stefan Nellen
2018 Administory  
We examine the conditions under which super-individual subjects of emotion can be aggregated from large textual datasets, and propose a theoretical framework for their interpretation.  ...  Does variation in their intensity correlate with historical events and with the evolution of diplomatic and administrative practices? If so, who is the subject of emotion?  ...  The method's advantage lies in its independence from a general-use, context- For our purpose, we have manually adjusted the FEEL lexicon, following a preliminary analysis in which we used its original  ... 
doi:10.2478/adhi-2018-0044 fatcat:mezn6iwnsjahnamwvir7j7tyfa

The Infuence of User's Emotions in Recommender Systems for Decision Making Processes

Marco Polignano
2015 ACM SIGCHI Italian Chapter International Conference on Computer-Human Interaction  
The paper will present the influences of emotions and personality in this task and will propose a recommender system able to take them in accounts during the recommendation process.  ...  The decision making process is a very hard task to face, because a lot of external elements could influence the final decision taken.  ...  Memory of the past affect Each time that the user will take a decision, interacting with the system, her affective profile increases and new emotionally historical cases will be added.  ... 
dblp:conf/chitaly/Polignano15 fatcat:6qsyl5snw5cgxkcclf6au3tzqm

A Survey on Sentiment and Emotion Analysis for Computational Literary Studies [article]

Evgeny Kim, Roman Klinger
2019 arXiv   pre-print
In the past, the affective dimension of literature was mainly studied in the context of literary hermeneutics.  ...  In this survey, we offer an overview of the existing body of research on sentiment and emotion analysis as applied to literature.  ...  Research Council (DFG), projects SEAT (Structured Multi-Domain Emotion Analysis from Text, KL 2869/1-1).  ... 
arXiv:1808.03137v2 fatcat:by5csiqpefgexnlmntlgagretm

Learning and Evaluating Emotion Lexicons for 91 Languages [article]

Sven Buechel, Susanna Rücker, Udo Hahn
2020 arXiv   pre-print
Emotion lexicons describe the affective meaning of words and thus constitute a centerpiece for advanced sentiment and emotion analysis.  ...  We evaluated the automatically generated lexicons against human judgment from 26 datasets, spanning 12 typologically diverse languages, and found that our approach produces results in line with state-of-the-art  ...  This work was partially funded by the German Federal Ministry for Economic Affairs and Energy (funding line "Big Data in der makroökonomischen Analyse" [Big data in macroeconomic analysis]; Fachlos 2;  ... 
arXiv:2005.05672v1 fatcat:sknca2vkgban7ioyuucxg2ek4u

Measuring Emotion in Parliamentary Debates with Automated Textual Analysis

Ludovic Rheault, Kaspar Beelen, Christopher Cochrane, Graeme Hirst, Joseph Najbauer
2016 PLoS ONE  
Our findings suggest that, contrary to popular belief, the mood of politicians has become more positive during the past decades, and that variations in emotional polarity can be predicted by the state  ...  We use this approach to examine changes in aggregate levels of emotional polarity in the British parliament, and to test a hypothesis about the emotional response of politicians to economic recessions.  ...  Acknowledgments The authors acknowledge the financial support of the Social Sciences and Humanities Research Council of Canada and the Natural Sciences and Engineering Research Council of Canada.  ... 
doi:10.1371/journal.pone.0168843 pmid:28006016 pmcid:PMC5179059 fatcat:cecbpghksbe6bbm3yb2wnotyqa

Issues of Social Data Analytics with a New Method for Sentiment Analysis of Social Media Data

Zhaoxia Wang, Victor Joo, Chuan Tong, David Chan
2014 2014 IEEE 6th International Conference on Cloud Computing Technology and Science  
The new scheme enables us to derive dominant valence as well as prominent positive and negative emotions by using an adaptive fuzzy inference method (FIM) with linguistics processors to minimize semantic  ...  There is a need to plug this research gap by developing effective analytic methods and approaches for sentiment analysis of data in non-English languages.  ...  RELATED WORKS In the past decade, there has seen a rapid growth in studies on sentiment analysis from text data.  ... 
doi:10.1109/cloudcom.2014.40 dblp:conf/cloudcom/WangTC14 fatcat:abahpybqurhbxm67rtz56yfysu

State of the Field: The History of Emotions

Katie Barclay
2021 History: The Journal of the Historical Association  
produce feelings in their readers. 1 The emotions of historical subjects too have long been of interest.  ...  Their work was especially significant in theorising emotion as historically and culturally contingent, and as a sociological process. 4 Historians' own feelings have also been subject to analysis.  ...  46 Barclay, The history of emotions; Katie Barclay, Sharon Crozier-De Rosa and Peter Stearns (eds), Sources for the history of emotions: A Student Guide (London, 2020); Rob Boddice, The history of emotions  ... 
doi:10.1111/1468-229x.13171 fatcat:mnbief6dyzbyzgupychutqygdm

Measuring emotional temperatures in Shakespeare's drama

Jonathan Culpeper, Alison Findlay, Beth Cortese, Mike Thelwall
2018 English Text Construction  
It explains how we adapted the "sentiment analysis" tool SentiStrength for use with Early Modern English.  ...  This paper demonstrates how the computational analysis of Shakespeare's plays can map the emotional language used across individual plays and across the canon more broadly, affording new insights.  ...  Acknowledgement The research presented in this article was supported by the UK's Arts and Humanities Research Council (AHRC), grant reference AH/N002415/1.  ... 
doi:10.1075/etc.00002.cul fatcat:hxyjx42g3jhwnnokvn2cdn2o3i

A Novel Emotion Lexicon for Chinese Emotional Expression Analysis on Weibo: Using Grounded Theory and Semi-Automatic Methods

Liang Xu, Linjian Li, Zehua Jiang, Zaoyi Sun, Xin Wen, Jiaming Shi, Rui Sun, Xiuying Qian
2020 IEEE Access  
Emotion lexicon is a vital foundation of sentiment analysis, but the existing lexicons still have defects such as a limited variety of emotions, poor crossscenario adaptability, and confusing written and  ...  By combining grounded theory and semi-automatic methods, we built a Weibo-based emotion lexicon for sentiment analysis.  ...  In the past two decades, computer scientists have expended a lot of effort on sentiment analysis, a research area that extracts emotions from natural language texts [5] .  ... 
doi:10.1109/access.2020.3009292 fatcat:yjaojnhksfckndfq32vm2umydm

Learners' awareness of their emotions and their engagement with mathematics tasks in a mathematics club

Jeanne-Mari Frenzel, Christine Erna Lampen, Karin Brodie
2019 Journal of Education  
, but we found, too, that the expected social consequences of engagement in emotionally risky classrooms may vitiate the personal gains.  ...  In this paper, we describe how Grade 8 learners gained more awareness of their emotions during tasks by using an emotions lexicon as they participated in a mathematics club.  ...  There may be potential for teachers to provide emotional support to learners that could lead to better social relationships and enhance engagement in the classroom and thus allow for increased engagement  ... 
doi:10.17159/2520-9868/i77a03 fatcat:5jw5v4dssrhzvjj74jrcghbzz4

Emotions, a Social and Historical Phenomenon: Some Notes on the Chinese Case

Paolo Santangelo
2016 L'Atelier du CRH  
Thus needs to create a lexicon of emotion and para-emotion terms (that is, containing the conceptual component “feel” or “feeling”) of the specific society under examination.  ...  research that focuses on the emotional sphere An historical research that focuses on the emotional sphere needs to create a lexicon of emotion and para-emotion terms (that is, containing the conceptual  ... 
doi:10.4000/acrh.7430 fatcat:kwwjkuxidzc5hos5uom3x5riry

Sentiment Analysis: Automatically Detecting Valence, Emotions, and Other Affectual States from Text [article]

Saif M. Mohammad
2021 arXiv   pre-print
Further, analysis of emotions in text, from news to social media posts, is improving our understanding of not just how people convey emotions through language but also how emotions shape our behaviour.  ...  We also discuss discuss how, without careful fore-thought, sentiment analysis has the potential for harmful outcomes.  ...  We also identify influential past and present work, along with influential annotated resources for affect prediction.  ... 
arXiv:2005.11882v2 fatcat:nbx6lopkmnebhgm6mjrpchsqgy

Harvesting Context and Mining Emotions Related to Olfactory Cultural Heritage

M. Besher Massri, Inna Novalija, Dunja Mladenić, Janez Brank, Sara Graça da Silva, Natasza Marrouch, Carla Murteira, Ali Hürriyetoğlu, Beno Šircelj
2022 Multimodal Technologies and Interaction  
We introduce a methodology for extracting smells and emotions from text, as well as demonstrate the context-based visualizations related to smells and emotions implemented in a novel smell tracker tool  ...  We provide an overview of the role of smell and emotions in literature, as well as highlight the importance of olfactory experience and emotions from psychology and linguistic perspectives.  ...  The "emotion lexicon" used by individuals to describe their emotions are dependent on their culture, historical time (for a review, see [49] ), and their own language development through the lifespan  ... 
doi:10.3390/mti6070057 fatcat:ffjceet5obhndk2avbymypqsum
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