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Identifying and Categorizing Disaster-Related Tweets

Kevin Stowe, Michael J. Paul, Martha Palmer, Leysia Palen, Kenneth Anderson
2016 Proceedings of The Fourth International Workshop on Natural Language Processing for Social Media  
We propose an annotation schema for identifying relevant tweets as well as the more fine-grained categories they represent, and develop feature-rich classifiers for relevance and fine-grained categorization  ...  The focus is on Twitter data generated before, during, and after Hurricane Sandy, which impacted New York in the fall of 2012.  ...  Agreement was higher for fine-grained tagging (κ = .814).  ... 
doi:10.18653/v1/w16-6201 dblp:conf/acl-socialnlp/StowePPPA16 fatcat:3hoqavadeje2nniwe5ny24kbwe

A fine-grained sentiment analysis approach for detecting crisis related microposts

Axel Schulz, Tung Dang Thanh, Heiko Paulheim, Immanuel Schweizer
2013 International Conference on Information Systems for Crisis Response and Management  
Thus, a more fine-grained differentiation is needed to identify relevant microposts.  ...  In this paper, we show the systematic evaluation of an approach for sentiment analysis on microposts that allows detecting seven emotion classes.  ...  S arized, this underlines our initial hypothesis that a more fine-grained classification of microposts according to human emotions can contribute to information filtering in crisis management.  ... 
dblp:conf/iscram/SchulzTPS13 fatcat:x43mmb7mkndd7fxqlzxoee55ue

DataLab: A Platform for Data Analysis and Intervention [article]

Yang Xiao, Jinlan Fu, Weizhe Yuan, Vijay Viswanathan, Zhoumianze Liu, Yixin Liu, Graham Neubig, Pengfei Liu
2022 arXiv   pre-print
In this paper, we propose DataLab, a unified data-oriented platform that not only allows users to interactively analyze the characteristics of data, but also provides a standardized interface for different  ...  Additionally, in view of the ongoing proliferation of datasets, \toolname has features for dataset recommendation and global vision analysis that help researchers form a better view of the data ecosystem  ...  This work was supported in part by Grant No. 2040926 of the US National Science Foundation, and the National Science Foundation of Singapore under its Industry Alignment Fund -Pre-positioning (IAF-PP)  ... 
arXiv:2202.12875v1 fatcat:3fiohmzmzrf6lksmmbcqvdwpza

How Do Users Like This Feature? A Fine Grained Sentiment Analysis of App Reviews

Emitza Guzman, Walid Maalej
2014 2014 IEEE 22nd International Requirements Engineering Conference (RE)  
We use natural language processing techniques to identify fine-grained app features in the reviews.  ...  App stores allow users to submit feedback for downloaded apps in form of star ratings and text reviews.  ...  ACKNOWLEDGMENTS We thank Christoph Stanik for his support with the Google Play API, and Ghadeer Eresha, Safey Halim, Mathias Ellmann, Marlo Häring, Hoda Naguib, and Wolf Posdorfer for their support in  ... 
doi:10.1109/re.2014.6912257 dblp:conf/re/GuzmanM14 fatcat:kmvgu54odzf4pjbuwo6zkhqvy4

MACSA: A Multimodal Aspect-Category Sentiment Analysis Dataset with Multimodal Fine-grained Aligned Annotations [article]

Hao Yang, Yanyan Zhao, Jianwei Liu, Yang Wu, Bing Qin
2022 arXiv   pre-print
However, the existing multimodal fine-grained sentiment datasets most focus on annotating the fine-grained elements in text but ignore those in images, which leads to the fine-grained elements in visual  ...  Multimodal fine-grained sentiment analysis has recently attracted increasing attention due to its broad applications.  ...  INTRODUCTION Inspired by textual fine-grained sentiment analysis, multimodal fine-grained sentiment analysis has attracted many researchers' attention.  ... 
arXiv:2206.13969v1 fatcat:ldnxasa5cjh6xbchbcd4ogrwyi

Opinion Mining from Online User Reviews Using Fuzzy Linguistic Hedges

Mita K. Dalal, Mukesh A. Zaveri
2014 Applied Computational Intelligence and Soft Computing  
This paper proposes an opinion mining system that can be used for both binary and fine-grained sentiment classifications of user reviews.  ...  fine-grained classification.  ...  Empirical studies indicate that our sentiment mining approach can be successfully applied for binary as well as fine-grained sentiment classification of user reviews.  ... 
doi:10.1155/2014/735942 fatcat:prmrjlkun5hhbgwotahiobuf3u

Developing and Evaluating Annotation Procedures for Twitter Data during Hazard Events

Kevin Stowe, Martha Palmer, T. Jennings Anderson, Marina Kogan, Leysia Palen, Kenneth M. Anderson, Rebecca Morss, Julie Demuth, Heather Lazrus
2018 Linguistic Annotation Workshop  
This work aims to improve understanding of natural disasters through social media and provide an annotation scheme to identify themes in user's social media behavior and facilitate efforts in supervised  ...  To that end, this work has three contributions: (1) the creation of an annotation scheme to consistently identify hazard-related themes in Twitter, (2) an overview of agreement rates and difficulties in  ...  Acknowledgements We would like to thank all of our collaborators in CHIME: Communicating Hazard Information in the Modern Environment, the larger research effort that supported this work, as well as the  ... 
dblp:conf/acllaw/StowePAKPAMDL18 fatcat:4etouk2lczf4fgvmi72uif5jiq

Contemplating Visual Emotions: Understanding and Overcoming Dataset Bias [chapter]

Rameswar Panda, Jianming Zhang, Haoxiang Li, Joon-Young Lee, Xin Lu, Amit K. Roy-Chowdhury
2018 Lecture Notes in Computer Science  
Our analysis identifies an important but long overlooked issue of existing visual emotion benchmarks in the form of dataset biases.  ...  Based on our analysis, we propose a webly supervised approach by leveraging a large quantity of stock image data.  ...  Our stock image dataset is one of the largest in the area of visual emotion analysis containing about 268,000 high quality stock photos across 25 fine-grained emotion categories.  ... 
doi:10.1007/978-3-030-01216-8_36 fatcat:necdmdtaynf4bfiyvin7yhdefu

Predictive Analysis on Twitter: Techniques and Applications [article]

Ugur Kursuncu, Manas Gaur, Usha Lokala, Krishnaprasad Thirunarayan, Amit Sheth, I. Budak Arpinar
2018 arXiv   pre-print
Specifically, we present fine-grained analysis involving aspects such as sentiment, emotion, and the use of domain knowledge in the coarse-grained analysis of Twitter data for making decisions and taking  ...  In this chapter, we discuss techniques, approaches and state-of-the-art applications of predictive analysis of Twitter data.  ...  This paradigm contains two levels of analysis: fine-grained and coarse-grained.  ... 
arXiv:1806.02377v1 fatcat:gm5cqpmgvfggzgxgzocv4c3fqi

Predictive Analysis on Twitter: Techniques and Applications [chapter]

Ugur Kursuncu, Manas Gaur, Usha Lokala, Krishnaprasad Thirunarayan, Amit Sheth, I. Budak Arpinar
2018 Lecture Notes in Social Networks  
Specifically, we present fine-grained analysis involving aspects such as sentiment, emotion, and the use of domain knowledge in the coarse-grained analysis of Twitter data for making decisions and taking  ...  In this chapter, we discuss techniques, approaches and state-of-the-art applications of predictive analysis of Twitter data.  ...  This paradigm contains two levels of analysis: fine-grained and coarse-grained.  ... 
doi:10.1007/978-3-319-94105-9_4 fatcat:knquzcuqcjdjjguzq435nq5kni

Contemplating Visual Emotions: Understanding and Overcoming Dataset Bias [article]

Rameswar Panda, Jianming Zhang, Haoxiang Li, Joon-Young Lee, Xin Lu,, Amit K. Roy-Chowdhury
2018 arXiv   pre-print
Our analysis identifies an important but long overlooked issue of existing visual emotion benchmarks in the form of dataset biases.  ...  Based on our analysis, we propose a webly supervised approach by leveraging a large quantity of stock image data.  ...  Our stock image dataset is one of the largest in the area of visual emotion analysis containing about 268,000 high quality stock photos across 25 fine-grained emotion categories.  ... 
arXiv:1808.02212v1 fatcat:p2g4uotbjjcy5kr52hzbw3ddla

Biased or Not?: The Story of Two Search Engines [article]

Gizem Gezici
2021 arXiv   pre-print
Our analysis is based on the sentiment in search results to identify their viewpoint as conservative or liberal.  ...  We also propose three sentiment-based metrics to show the existence of bias as well as to compare viewpoints of the two search engines.  ...  the document, which provides us a more fine-grained analysis of the given documents.  ... 
arXiv:2112.12802v1 fatcat:mffwggsbhjcajlsrznwaycxgxa

Addressing Age-Related Bias in Sentiment Analysis

Mark Díaz, Isaac Johnson, Amanda Lazar, Anne Marie Piper, Darren Gergle
2019 Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence  
Our results show significant age bias is encoded in the outputs of many sentiment analysis algorithms and word embeddings, and we can alleviate this bias by manipulating training data.  ...  In this study, we analyze the treatment of age-related terms across 15 sentiment analysis models and 10 widely-used GloVe word embeddings and attempt to alleviate bias through a method of processing model  ...  Acknowledgments This work was supported in part by NSF grant IIS-1551574. We thank the bloggers who made their experiences publicly available online.  ... 
doi:10.24963/ijcai.2019/852 dblp:conf/ijcai/DiazJLPG19 fatcat:lfntknjvpbfv7ovjmbeoye3ufy

Sentimental analysis using recurrent neural network

Merin Thomas, Latha C.A
2018 International Journal of Engineering & Technology  
Sentiment analysis has been an important topic of discussion from two decades since Lee published his first paper on the sentimental analysis in 2002.  ...  In this paper we have implemented sentimental analysis of tweets in South Indian language Malayalam.  ...  Methodology The sentimental analysis system can address classifications of sentiments in to binary as well as fine-grained over user reviews and natural opinions in Malayalam.  ... 
doi:10.14419/ijet.v7i2.27.12635 fatcat:zl47qyhc3ndrbk6q5zflnpv3xu

Fine-grained sentiment analysis of product reviews in Swedish

Emil Westin
2020 figshare.com  
In this study we gather customer reviews from Prisjakt, a Swedish price comparison site, with the goal to study the relationship between review and rating, known as sentiment analysis.  ...  Furthermore, three models are evaluated on a balanced and unbalanced dataset in order to investigate the effects of class imbalance.The results show that the SVR performs better on unbalanced fine-grained  ...  Research Questions As mentioned, a central problem in the fine-grained sentiment analysis is the skewness of the rating distribution.  ... 
doi:10.6084/m9.figshare.13187078.v1 fatcat:plmgt22flzeb5n3ujaz6kyq6dy
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