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Emotion-Cause Pair Extraction in Customer Reviews [article]

Arpit Mittal, Jeel Tejaskumar Vaishnav, Aishwarya Kaliki, Nathan Johns, Wyatt Pease
2021 arXiv   pre-print
In this report , we aim to present our work in ECPE in the domain of online reviews. With a manually annotated dataset, we explore an algorithm to extract emotion cause pairs using a neural network.  ...  Emotion-Cause Pair Extraction (ECPE) is a complex yet popular area in Natural Language Processing due to its importance and potential applications in various domains.  ...  task of emotion cause extraction (ECE) and defined this task as extracting the word-level causes that lead to the given emotions in text.  ... 
arXiv:2112.03984v1 fatcat:mpqooka3ejfshdq2rxczejhyxq

Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts

Rui Xia, Zixiang Ding
2019 Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics  
In this work, we propose a new task: emotion-cause pair extraction (ECPE), which aims to extract the potential pairs of emotions and corresponding causes in a document.  ...  Emotion cause extraction (ECE), the task aimed at extracting the potential causes behind certain emotions in text, has gained much attention in recent years due to its wide applications.  ...  Rui Xia and Zixiang Ding contributed equally to this paper.  ... 
doi:10.18653/v1/p19-1096 dblp:conf/acl/XiaD19 fatcat:ezpxsqday5cpjlky257ztm3gju

Multiple Level Hierarchical Network-Based Clause Selection for Emotion Cause Extraction

Xinyi Yu, Wenge Rong, Zhuo Zhang, Yuanxin Ouyang, Zhang Xiong
2019 IEEE Access  
Emotion cause extraction is one of the most important applications in natural language processing tasks.  ...  It is a difficult challenge due to the complex semantic information between emotion description and the whole document.  ...  Extracting emotion cause from texts requires better comprehension of the text and more features learned from the sentences.  ... 
doi:10.1109/access.2018.2890390 fatcat:6uigljnhlbcqhnoe6425gotzve

An Emotion Expression Extraction Method for Chinese Microblog Sentences

Fuji Ren, Qian Zhang
2020 IEEE Access  
We first use a lexicon-based emotion classification method to compute different emotion values in emotion label vectors of opinionated sentences.  ...  For this endeavor, an emotion expression extraction method is proposed to process millions of user-generated opinionated sentences automatically in this paper.  ...  The emotion labels of opinionated sentences that emotion values in the new emotion label vectors are the same are ''OTHER''. V. OPINION TARGET EXTRACTION A.  ... 
doi:10.1109/access.2020.2985726 fatcat:swaidwu4nrapdpbgn62a25cnci

Recognizing Emotion Cause in Conversations [article]

Soujanya Poria, Navonil Majumder, Devamanyu Hazarika, Deepanway Ghosal, Rishabh Bhardwaj, Samson Yu Bai Jian, Pengfei Hong, Romila Ghosh, Abhinaba Roy, Niyati Chhaya, Alexander Gelbukh, Rada Mihalcea
2021 arXiv   pre-print
a new task highly relevant for (explainable) emotion-aware artificial intelligence: recognizing emotion cause in conversations, provide a new highly challenging publicly available dialogue-level dataset  ...  Introduction: Recognizing the cause behind emotions in text is a fundamental yet under-explored area of research in NLP.  ...  in this manuscript.  ... 
arXiv:2012.11820v4 fatcat:qornwntchzap3hqrjqajsd2yxy

Identifying emotion topic — An unsupervised hybrid approach with Rhetorical Structure and Heuristic Classifier

Dipankar Das, Sivaji Bandyopadhyay
2010 Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)  
Secondly, as an individual target span contains one or more topics corresponding to an emotional expression, a Heuristic Classifier (HC) is designed to identify each of the topic spans associated in the  ...  The unsupervised hybrid approach consists of two phases; firstly, the information of Rhetorical Structure (RS) is extracted to identify the target span corresponding to the emotional expression from each  ...  The knowledge of Rhetorical Structure Theory in the text structure was used in [22] to improve the identification of topical words in a text document.  ... 
doi:10.1109/nlpke.2010.5587777 dblp:conf/nlpke/DasB10 fatcat:n2tuotitazgjpclwrqyolkuhfi

Annotation of Emotion Carriers in Personal Narratives [article]

Aniruddha Tammewar, Alessandra Cervone, Eva-Maria Messner, Giuseppe Riccardi
2020 arXiv   pre-print
We believe this resource could be used for experiments in the automatic extraction of emotion carriers from PN, a task that could provide further advancements in narrative understanding.  ...  Compared to other text genres such as news and microblogs, spoken PNs are particularly challenging because a narrative is usually unstructured, involving multiple sub-events and characters as well as thoughts  ...  Acknowledgements The research leading to these results has received funding from the European Union -H2020 Programme under grant agreement 826266: COADAPT.  ... 
arXiv:2002.12196v3 fatcat:r6fnldzizzezrajat6hfi4tqli

Extracting Leadership Knowledge from Formative Experiences

Annick Janson
2008 Leadership  
Only 8 per cent addressed a 'natural process' supporting a 'born leader' view and 1 per cent involved identification with a cause.  ...  Senior leaders participating on a leadership development programme recounted LFEs in peer groups to surface their learning.  ...  and a balance in emotional valence attached to the learning experiences.  ... 
doi:10.1177/1742715007085770 fatcat:d7iqynisdjbtpcwtdzkb5sheiq

Educational Psychology Analysis Method for Extracting Students' Facial Information Based on Image Big Data

Maoyue Zhang, Sheng Bin
2022 Occupational Therapy International  
From the specific teaching effect of this study, it is concluded that in classroom teaching, teachers should devote energy to intervene in students' positive academic emotions, in order to improve students  ...  A parallel extraction framework of student facial image features is designed, and based on this, the student facial image feature extraction under Hadoop platform is implemented.  ...  to extract enough from a single feature.  ... 
doi:10.1155/2022/8709591 pmid:35645653 pmcid:PMC9117017 fatcat:tcrrvjpaonczzkfikqhi4xebg4

Detecting Emotion Stimuli in Emotion-Bearing Sentences [chapter]

Diman Ghazi, Diana Inkpen, Stan Szpakowicz
2015 Lecture Notes in Computer Science  
We address the problem as information extraction: we build a CRF learner, a sequential learning model to detect the emotion stimulus spans in emotion-bearing sentences.  ...  A related challenging question, why the experiencer feels that emotion, has, to date, received very little attention. The task is difficult and there are no annotated English resources.  ...  Due to the large volume of text data available on the Internet -blogs, email and chats -which are full of emotions, recently there has been a growing interest in automatic identification and extraction  ... 
doi:10.1007/978-3-319-18117-2_12 fatcat:vam47k7phvdadcfm743oebc5li

Humor Recognition and Humor Anchor Extraction

Diyi Yang, Alon Lavie, Chris Dyer, Eduard Hovy
2015 Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing  
Furthermore, we develop a simple and effective method to extract anchors that enable humor in a sentence.  ...  How to create computational models to discover the structures behind humor, recognize humor and even extract humor anchors remains a challenge.  ...  Acknowledgement The authors would like to thank Li Zhou, Anna Kasunic, the anonymous reviewers, our annotators and all colleagues who have contributed their valuable comments and suggestions.  ... 
doi:10.18653/v1/d15-1284 dblp:conf/emnlp/YangLDH15 fatcat:v356qor3krcy7jvujwwyigfdrm

Extractive Text Summarization for Social News using Hybrid Techniques in Opinion Mining

2020 International Journal of Engineering and Advanced Technology  
The present work focuses on a comprehensive news review of extractive text summarization process methods and also taking into account, data appended dynamically.  ...  Presently almost all enterprises are oriented into building text data in abundance savoring the benefits of big data concept but the reality is that it's not practically possible to go through all this  ...  There is presence of unnecessary and crap data in the collected news reviews which causes hindrance in the process of evaluation.  ... 
doi:10.35940/ijeat.b3356.029320 fatcat:7vwnlgsef5arpllozo24oraotu


Evgeny Kim, Roman Klinger
2019 Proceedings of the 2019 Conference of the North  
We formalize it as a new task and describe the annotation of a corpus, based on fan-fiction short stories.  ...  In this paper, we combine these aspects into a unified framework to classify emotional relationships of fictional characters.  ...  Analysis from Text, KL 2869/1-1).  ... 
doi:10.18653/v1/n19-1067 dblp:conf/naacl/KimK19 fatcat:ffxyjzjorvebhn57eyq24agokm

Information extraction from digital social trace data with applications to social media and scholarly communication data

Shubhanshu Mishra
2020 SIGIR Forum  
This identification allows us to utilize the graph structure of the data (e.g., user connected to a tweet, author connected to a paper, author connected to authors, etc.) for developing new information  ...  extraction tasks.  ...  In order to convert this text data into something we can query on, we utilize information extraction tasks defined for text data.  ... 
doi:10.1145/3451964.3451981 fatcat:36djwlckprhl5hymzhivrbnscu

Information Extraction and Named Entity Recognition Supported Social Media Sentiment Analysis during the COVID-19 Pandemic

László Nemes, Attila Kiss
2021 Applied Sciences  
Then, via a deeper analysis of these results, we can get an even more concise picture of people's emotional state in the given period of time.  ...  In this paper, we look at the sentiments of people and we use tweets to determine how people have related to COVID-19 over a given period of time.  ...  The task of information extraction involves extracting meaningful information from unstructured text data and presenting it in a structured format.  ... 
doi:10.3390/app112211017 fatcat:uonkdovir5eyrncejuoknu5h2y
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