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Did You Expect Your Users to Say This?

Wen-Haw Chong, Bing Tian Dai, Ee-Peng Lim
2015 Proceedings of the 26th ACM Conference on Hypertext & Social Media - HT '15  
Our proposed solution is to score and rank micro-reviews, for which we design a novel topic model, Sparse Additive Micro-Review (SAMR). Our model surfaces micro-review topics related to the venues.  ...  With social media platforms such as Foursquare, users can now generate concise reviews, i.e. micro-reviews, about entities such as venues (or products).  ...  If a more fine-grained representation is desired, one should define a larger number of topics, i.e. parameter K.  ... 
doi:10.1145/2700171.2791024 dblp:conf/ht/ChongDL15 fatcat:m5nteg4circbbfyqm6l47fnuku

Emotion Classification in Microblog Texts Using Class Sequential Rules

Shiyang Wen, Xiaojun Wan
Experimental results on a Chinese benchmark dataset show the superior performance of the proposed approach.  ...  This paper introduces a novel approach based on class sequential rules for emotion classification of microblog texts.  ...  The task is to recognize the fine-grained emotion type of a Chinese microblog text. There are seven emotion types: anger, disgust, fear, happiness, like, sadness and surprise.  ... 
doi:10.1609/aaai.v28i1.8709 fatcat:q4zfdlmprrfnvi7jfdqcqzhlh4

How Do I Look? Publicity Mining From Distributed Keyword Representation of Socially Infused News Articles

Yu-Lun Hsieh, Yung-Chun Chang, Chun-Han Chu, Wen-Lian Hsu
2016 Proceedings of The Fourth International Workshop on Natural Language Processing for Social Media  
Previous work on opinion mining and sentiment analysis mainly concerns product, movie, or literature reviews; few applied this technique to analyze the publicity of person.  ...  Experiments are conducted on two Chinese corpora that in total consists of over forty thousand users' emotional response after reading news articles.  ...  Acknowledgments We are grateful to the anonymous reviewers for their insightful comments.  ... 
doi:10.18653/v1/w16-6211 dblp:conf/acl-socialnlp/HsiehCCH16 fatcat:mxjhw2rs3nfuxc3ewwzczem6ii

Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia [article]

Jianlong Zhou, Hamad Zogan, Shuiqiao Yang, Shoaib Jameel, Guandong Xu, Fang Chen
2020 arXiv   pre-print
A new approach based on multi-modal features from tweets and Term Frequency-Inverse Document Frequency (TF-IDF) is proposed to build depression classification models.  ...  Further analysis in the Local Government Area (LGA) level found that the community depression level was different across different LGAs.  ...  [28] have proposed a binary depression detection model for Chinese Sina micro-blogs to classify the posts as depressed or non-depressed.  ... 
arXiv:2007.02325v1 fatcat:l5z3x7xr5jgexfi6wkftenslom

Sentiment Analysis by Exploring Large Scale Web-based Chinese Short Text

Ziyu Liu, Yonggang Qi, Zhanyu Ma, Jie Yang
2018 DEStech Transactions on Computer Science and Engineering  
In this paper, we purpose two short text sentiment analysis models based on student forum data, named hard mapping sentiment analysis model and soft mapping sentiment analysis model respectively.  ...  On this basis, soft mapping sentiment analysis model trains the word similarity model of Chinese words with a large amount of data from Chinese Wikipedia using word2vec and Gensim.  ...  Therefore, we conduct fine-grained sentiment multi-level analysis on student forums and make further investigation.  ... 
doi:10.12783/dtcse/csae2017/17572 fatcat:wwqnsn5dtbhfhfe7duac57hfdy

Incorporating Stress Status in Suicide Detection through Microblog

Yuanyuan Xue, Qi Li, TongWu, LingFeng, Liang Zhao, FengYu
2019 Computer systems science and engineering  
The results show that the proposed model is effective and efficient on detecting users' suicide risk through Micro-blog, and yields better performance than other machine learning algorithms on small data  ...  We test the performance of the FCM classification model on a set of suicide and non-suicide users' real blogs from the Sina Weibo.  ...  [20] extracted linguistic features from 53 known suicidal blogs on Weibo, a Chinese microblog, based on a psychological lexicon dictionary.  ... 
doi:10.32604/csse.2019.34.065 fatcat:at6uuff5sjegrfo44n76vzz7ha

Depression Severity Estimation from Multiple Modalities [article]

Evgeny Stepanov, Stephane Lathuiliere, Shammur Absar Chowdhury, Arindam Ghosh, Radu-Laurentiu Vieriu, Nicu Sebe, Giuseppe Riccardi
2017 arXiv   pre-print
We show that visual features extracted from facial landmarks obtain the best performance in terms of estimating the PHQ-8 results with a mean absolute error (MAE) of 4.66 on the development set.  ...  With a continuous increase in the number of annual cases of depression, there is a need to develop automatic techniques for the detection of the presence and extent of depression.  ...  Wang et al [53] applied data mining techniques to build models which achieved a precision of 80% for detecting de-pression based on sentiment analysis of users on a Chinese micro-blogging platform.  ... 
arXiv:1711.06095v1 fatcat:nrjuotkqsjc6fdhl3tp5npka7y

Suicidal Ideation Cause Extraction from Social Texts

Dexi Liu, Qi Fu, Changxuan Wan, Xiping Liu, Tengjiao Jiang, Guoqiong Liao, Xiangqing Qiu, Renqiang Liu
2020 IEEE Access  
This article summarizes the research on suicidal ideation causes (SICs) through the use of psychological and sociological analysis.  ...  Finally, the challenge of SICE is discussed based on the experimental results of Char-BiLSTM-CRF.  ...  ACKNOWLEDGEMENT Thanks to Professor Tingshao Zhu of the Institute of psychology, Chinese Academy of Sciences for his suicidal ideation dataset and Suicide Dictionary.  ... 
doi:10.1109/access.2020.3019491 fatcat:3x2x6nhemzfebo3yi5bm5uob5a

Spatiotemporal Change Analysis of Earthquake Emergency Information Based on Microblog Data: A Case Study of the "8.8" Jiuzhaigou Earthquake

Xing, Su, Liu, Su, Zhang
2019 ISPRS International Journal of Geo-Information  
In this paper, a spatial distribution detection method is established using emergency information based on the urgency degree grading of microblogs and spatial autocorrelation analysis.  ...  Moreover, spatial autocorrelation analysis based on the degree of text urgency can exclude uneven spatial distribution influences of the number of microblog users, and accurately determine the level of  ...  Acknowledgments: We thank the journal's editors and anonymous reviewers for their kind comments and valuable suggestions to improve the quality of this paper.  ... 
doi:10.3390/ijgi8080359 fatcat:mbf3ut6sh5fmvk2xemkwthwpr4

AI Based Emotion Detection for Textual Big Data: Techniques and Contribution

Sheetal Kusal, Shruti Patil, Ketan Kotecha, Rajanikanth Aluvalu, Vijayakumar Varadarajan
2021 Big Data and Cognitive Computing  
Understanding the emotions at the fine-grained level of these expressed thoughts is important for system improvement.  ...  The qualitative review represents different emotion models, datasets, algorithms, and application domains of text-based emotion detection.  ...  Emotion detection is taking out finer-grained emotions like anger, happiness, sadness, anxiety, depression, etc., and applying this feedback to future decision making.  ... 
doi:10.3390/bdcc5030043 fatcat:yfdffp7ohzcilijvyai33zk234

Twitter sentiment classification for measuring public health concerns

Xiang Ji, Soon Ae Chun, Zhi Wei, James Geller
2015 Social Network Analysis and Mining  
Based on the number of tweets classified as Personal Negative, we compute a Measure of Concern (MOC) and a timeline of the MOC.  ...  In the first sub-step (of both steps), our programs automatically generate training data using an emotion-oriented, clue-based method.  ...  in micro-blogs.  ... 
doi:10.1007/s13278-015-0253-5 pmid:32226558 pmcid:PMC7096866 fatcat:4uafp234k5bsnbtfeywv5vr42i

Association for Computational Linguistics [chapter]

G. Hirst
2006 Encyclopedia of Language & Linguistics  
The lecturers have been invited to write papers on all aspects of computational approaches to Natural Language Processing. The papers received have been revised and prepared to compose this issue.  ...  Such a suicide note corpus of positive-only data, annotated with fine-grained emotions, was released in the framework of the 2011 i2b2 Natural Language Processing Challenge (Pestian et al., 2012) on  ...  Forums, chats, social networks, blogs, micro-blogs or emails are virtual spaces where Internet users can interact freely and even fantasize, using anonymous identities.  ... 
doi:10.1016/b0-08-044854-2/05234-2 fatcat:bbncnskzhvhxtbfdk5ftli7gva

Abstracts of the 10th Asia-Pacific Conference on Clinical Nutrition

Jonathan Buckley, Malcolm Riley, Lisa Wood, Sheila Skeaff, Manny Noakes
2018 Proceedings (MDPI)  
The Asia-Pacific Conference on Clinical Nutrition is a biennial conference held within the Asia-Pacific region.  ...  Gut microbiota analysis were investigated based on the sequencing results on V4 region of 16S rRNA.  ...  Participants were categorised based on Geriatric Depression Scale (GDS) score, a 30-item measure of symptoms of depression (0-9: normal; 10-19: mild; 20-30: severe).  ... 
doi:10.3390/proceedings2120573 fatcat:2o7vyg655beg5ocprj2wcvf7xq

BHAAV- A Text Corpus for Emotion Analysis from Hindi Stories [article]

Yaman Kumar, Debanjan Mahata, Sagar Aggarwal, Anmol Chugh, Rajat Maheshwari, Rajiv Ratn Shah
2019 Zenodo   pre-print
We also provide a detailed analysis of the dataset and train strong baseline classifiers reporting their performances.  ...  Each sentence has been annotated into one of the five emotion categories - anger, joy, suspense, sad, and neutral, by three native Hindi speakers with at least ten years of formal education in Hindi.  ...  In International Conference on Text, Speech and Dialogue, pages 375-382. Springer. Kai Gao, Hua Xu, and Jiushuo Wang. 2015. A rule-based approach to emotion cause detection for chinese micro-blogs.  ... 
doi:10.5281/zenodo.3457467 arXiv:1910.04073v1 fatcat:fu6zqhevqvfmdoc7liw6os2ivq

Toward Intersectional Identity Perspectives on Disability and LGBTQ Identities in Higher Education

Ryan A. Miller
2018 Journal of College Student Development  
I propose five intersectional identity perspectives based on semi-structured interviews with 25 students at a research university who identified as lesbian, gay, bisexual, transgender, and queer students  ...  Little has been published on the intersections of disability and queer identities among college students.  ...  While these broad categories might present opportunities for building coalitions, there are also specific needs at a fine-grained level that an umbrella approach might ignore.  ... 
doi:10.1353/csd.2018.0030 fatcat:vybq5db3cjaphp4r2cm5bc3hme
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