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SmokEng: Towards Fine-grained Classification of Tobacco-related Social Media Text [article]

Kartikey Pant, Venkata Himakar Yanamandra, Alok Debnath, Radhika Mamidi
<span title="2019-10-12">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this paper, we create a dataset of 3144 tweets, which are selected based on the presence of colloquial slang related to smoking and analyze it based on the semantics of the tweet.  ...  However, two primary considerations are not accounted for, the language of the demographic affected and a combination of the topics mentioned above in a fine-grained classification mechanism.  ...  Support Vector Machines (SVM) The first learning model used for classification in our experiment was Support Vector Machines (SVM) (Cortes and Vapnik, 1995) .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1910.05598v1">arXiv:1910.05598v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vqb72ttn7rgppf7k7frgsm57za">fatcat:vqb72ttn7rgppf7k7frgsm57za</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200828160235/https://arxiv.org/pdf/1910.05598v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/49/56/4956dc4ad3cf7472cf8c4e64bf65443f8cc8600c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1910.05598v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Toward automated e-cigarette surveillance: Spotting e-cigarette proponents on Twitter

Ramakanth Kavuluru, A.K.M. Sabbir
<span title="">2016</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/p4kk6lusgrhyxecgig72iasi5q" style="color: black;">Journal of Biomedical Informatics</a> </i> &nbsp;
Conclusions: Given FDA is currently in the process of proposing meaningful regulation, we believe our work demonstrates the strong potential of informatics approaches, specifically machine learning, for  ...  However, the safety of e-cigs and their efficacy in supporting smoking cessation is yet to be determined.  ...  Many thanks to Ellen Hahn of the College of Nursing at UKY for general discussions on e-cig themes and search terms.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.jbi.2016.03.006">doi:10.1016/j.jbi.2016.03.006</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/26975599">pmid:26975599</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4893981/">pmcid:PMC4893981</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/iqlxlaz7mbfcddensbl3qvyqiy">fatcat:iqlxlaz7mbfcddensbl3qvyqiy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190702225715/http://protocols.netlab.uky.edu/~rvkavu2/research/jbi-ecig-16.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e8/cd/e8cdf47753a3ef1556f2a9439a03e66fedda8e03.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.jbi.2016.03.006"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4893981" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

An insight analysis and detection of drug-abuse risk behavior on Twitter with self-taught deep learning

Han Hu, NhatHai Phan, Soon A. Chun, James Geller, Huy Vo, Xinyue Ye, Ruoming Jin, Kele Ding, Deric Kenne, Dejing Dou
<span title="2019-11-06">2019</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/57o5y4hm2rgexgjtw745w52asu" style="color: black;">Computational Social Networks</a> </i> &nbsp;
Acknowledgements The authors gratefully acknowledge the support from the National Science Foundation (NSF) Grants CNS-1650587, CNS-1747798, CNS-1624503, CNS-1850094, and National Research Foundation of  ...  The main criteria for classifying a tweet as drug-abuse risk can be condensed into: "The existence of abusive activities or endorsements of drugs."  ...  Recently, many works, including one of our works [29] , explored the use of more advanced deep learning models for drug-related classification tasks on online social media.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s40649-019-0071-4">doi:10.1186/s40649-019-0071-4</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jfnkm7ocafbc7f6w23mevwmkpi">fatcat:jfnkm7ocafbc7f6w23mevwmkpi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200209005644/https://computationalsocialnetworks.springeropen.com/track/pdf/10.1186/s40649-019-0071-4" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/71/84/7184eb4b63d7df79a93a6f64cf0916f5d4dc7c3b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s40649-019-0071-4"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a>

Utilizing Deep Learning to Identify Drug Use on Twitter Data [article]

Joseph Tassone, Peizhi Yan, Mackenzie Simpson, Chetan Mendhe, Vijay Mago, Salimur Choudhury
<span title="2020-03-08">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The collection and examination of social media has become a useful mechanism for studying the mental activity and behavior tendencies of users.  ...  Through the analysis of collected Twitter data, models were developed for classifying drug-related tweets.  ...  Additionally, they would like recognize Longfei Zeng, Dillon Small, and the overall Lakehead DaTALab for providing support and the initial dataset.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2003.11522v1">arXiv:2003.11522v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kxr7pbvvlvdkjhhjhg3zf7prxy">fatcat:kxr7pbvvlvdkjhhjhg3zf7prxy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200328024859/https://arxiv.org/pdf/2003.11522v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2003.11522v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Utilizing deep learning and graph mining to identify drug use on Twitter data

Joseph Tassone, Peizhi Yan, Mackenzie Simpson, Chetan Mendhe, Vijay Mago, Salimur Choudhury
<span title="2020-12-30">2020</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/bnylrk2y7bfnrn7u2f2vjkx7ta" style="color: black;">BMC Medical Informatics and Decision Making</a> </i> &nbsp;
For the latter, a deep learning approach was implemented to screen and analyze the semantic meaning of the tweets.  ...  Background The collection and examination of social media has become a useful mechanism for studying the mental activity and behavior tendencies of users.  ...  Additionally, they would like recognize Longfei Zeng, Dillon Small, and the overall Lakehead DaTALab for providing support and the initial dataset.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s12911-020-01335-3">doi:10.1186/s12911-020-01335-3</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33380324">pmid:33380324</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nqnt3q2glvgwhlmxvzletp2bga">fatcat:nqnt3q2glvgwhlmxvzletp2bga</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210101032705/https://bmcmedinformdecismak.biomedcentral.com/track/pdf/10.1186/s12911-020-01335-3.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/21/a2/21a22baa09ab429d305d3ac3c4d9a07659fbc301.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s12911-020-01335-3"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a>

Exploratory Analysis of Marketing and Non-marketing E-cigarette Themes on Twitter [chapter]

Sifei Han, Ramakanth Kavuluru
<span title="">2016</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
The smoke-free aspect of e-cigs renders them less harmful than conventional cigarettes and is one of the main reasons for their use by people who plan to quit smoking.  ...  We also report on themes identified from e-cig tweets generated at particular places (such as schools and churches) for geo-tagged tweets found in our dataset using the GeoNames API.  ...  This research was supported by the National Center for Research Resources and the National Center for Advancing Translational Sciences, US National Institutes of Health (NIH), through Grant UL1TR000117  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-47874-6_22">doi:10.1007/978-3-319-47874-6_22</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/28782062">pmid:28782062</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5540097/">pmcid:PMC5540097</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ovxbplw7ljbsxkhjv5qcr723za">fatcat:ovxbplw7ljbsxkhjv5qcr723za</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200209145317/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC5540097&amp;blobtype=pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c7/62/c7622baddfde21295f6539830775960819b0b94f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-47874-6_22"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5540097" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

SOCIAL MEDIA MINING FOR PUBLIC HEALTH MONITORING AND SURVEILLANCE

MICHAEL J. PAUL, ABEED SARKER, JOHN S. BROWNSTEIN, AZADEH NIKFARJAM, MATTHEW SCOTCH, KAREN L. SMITH, GRACIELA GONZALEZ
<span title="2015-11-18">2015</span> <i title="WORLD SCIENTIFIC"> Biocomputing 2016 </i> &nbsp;
In addition to summarizing the content of the session, this paper also surveys recent research on using social media data to study public health.  ...  This paper describes topics pertaining to the session, "Social Media Mining for Public Health Monitoring and Surveillance," at the Pacific Symposium on Biocomputing (PSB) 2016.  ...  The study developed a baseline classification performance of up to .90 AUC for detecting use and .94 AUC for detecting smoking cessation intent.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1142/9789814749411_0043">doi:10.1142/9789814749411_0043</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lffqucqpn5e55fqqrnk5vbwfz4">fatcat:lffqucqpn5e55fqqrnk5vbwfz4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170317111227/http://psb.stanford.edu/psb-online/proceedings/psb16/intro-smm.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c4/6f/c46f3fbd4417fdb10d51fa7f464bb3805f3f5438.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1142/9789814749411_0043"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> worldscientific.com </button> </a>

A cross-sectional examination of marketing of electronic cigarettes on Twitter

Jidong Huang, Rachel Kornfield, Glen Szczypka, Sherry L Emery
<span title="2014-06-16">2014</span> <i title="BMJ"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/nzojsqcqlvh3xpezx5vrnczgdi" style="color: black;">Tobacco Control</a> </i> &nbsp;
Approximately 10% of commercial and organic tweets mentioned smoking cessation, and 34% of commercial tweets included mentions of prices or discounts for e-cigarettes.  ...  Tweets were coded for smoking cessation mentions, as well as health and safety mentions, and were classified as commercial or non-commercial ('organic') tweets using a combination of Naïve Bayes machine  ...  The National Cancer Institute did not play any role in study design; in the collection, analysis and interpretation of data; in the writing of the report; and in the decision to submit the article for  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1136/tobaccocontrol-2014-051551">doi:10.1136/tobaccocontrol-2014-051551</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/24935894">pmid:24935894</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4078681/">pmcid:PMC4078681</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rwe5ae26abezxgquz6bhtwufzu">fatcat:rwe5ae26abezxgquz6bhtwufzu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190307092424/http://pdfs.semanticscholar.org/f6fa/be7fcae9a0071404436f316933d0968ac240.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f6/fa/f6fabe7fcae9a0071404436f316933d0968ac240.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1136/tobaccocontrol-2014-051551"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> bmj.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4078681" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Detecting Campaign Promoters on Twitter Using Markov Random Fields

Huayi Li, Arjun Mukherjee, Bing Liu, Rachel Kornfield, Sherry Emery
<span title="">2014</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/gckg3mzs4fhxhbrvmbsa54bccm" style="color: black;">2014 IEEE International Conference on Data Mining</a> </i> &nbsp;
Our experiments are carried out using three real-life datasets from the health science domain related to smoking.  ...  Given a set of tweets streamed from Twitter based on a set of keywords representing a particular topic, the proposed technique aims to identify user accounts that are involved in promotion.  ...  For example, a government health agency may conduct an anti-smoking campaign on Twitter to inform the general public the health risks of smoking and how to quit smoking.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icdm.2014.59">doi:10.1109/icdm.2014.59</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icdm/LiMLKE14.html">dblp:conf/icdm/LiMLKE14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yyo63cmygjfffm5yet3awzbtgy">fatcat:yyo63cmygjfffm5yet3awzbtgy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170921234914/https://www.cs.uic.edu/~liub/publications/twitter-promoters-paper531.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f6/18/f618af82db239f441bf63539c37b174faa324f70.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icdm.2014.59"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Image Classification to Support Emergency Situation Awareness

Ryan Lagerstrom, Yulia Arzhaeva, Piotr Szul, Oliver Obst, Robert Power, Bella Robinson, Tomasz Bednarz
<span title="2016-09-21">2016</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/t4zwwbshrrfd3hjbg4s3bysm7q" style="color: black;">Frontiers in Robotics and AI</a> </i> &nbsp;
Specifically, we investigate image classification in the context of a bush fire emergency in the Australian state of NSW, where images associated with Tweets during the emergency were used to train and  ...  This paper presents a novel application of current image classification approaches in the area of Emergency Situation Awareness.  ...  Figure 1C is a reasonably close in shot of an active fire, with burning trees and smoke. Again all four methods report the correct class for this image.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/frobt.2016.00054">doi:10.3389/frobt.2016.00054</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cfymrhpxpvaszdjug7i3cmb7ry">fatcat:cfymrhpxpvaszdjug7i3cmb7ry</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20171007072435/http://publisher-connector.core.ac.uk/resourcesync/data/Frontiers/pdf/96f/aHR0cDovL2pvdXJuYWwuZnJvbnRpZXJzaW4ub3JnL2FydGljbGUvMTAuMzM4OS9mcm9idC4yMDE2LjAwMDU0L3BkZg%3D%3D.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/85/6a/856a5257bc378b53453dc96833bb324d4faa3369.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/frobt.2016.00054"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> frontiersin.org </button> </a>

Study On The Twitter Hashtag-Hashtag Co-Occurrence Network And Knowledge Discovery Applicaton [article]

Vitale Nicola
<span title="2018-06-14">2018</span> <i title="Zenodo"> Zenodo </i> &nbsp;
In this project we report a novel method for knowledge discovery based on the use of hashtags in tweets.  ...  The emergence of social media has impacted the way most people communicate, learn, behave or conduct research.  ...  We trained this learning algorithm on a manually labelled dataset of general tweets to classify our smoking related tweets.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.1289254">doi:10.5281/zenodo.1289254</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7rgmatyz6zehthad2ri63nfl6e">fatcat:7rgmatyz6zehthad2ri63nfl6e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220202042753/https://zenodo.org/record/1289254/files/NV%20-%20MSc%20Data%20Science%20-%20Master%20Thesis.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f6/8e/f68e54226779beb59e6eff8185d9dba241936df5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.1289254"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> zenodo.org </button> </a>

Word Embeddings to Enhance Twitter Gang Member Profile Identification [article]

Sanjaya Wijeratne, Lakshika Balasuriya, Derek Doran, Amit Sheth
<span title="2016-10-27">2016</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
amenable for machine learning classification.  ...  Our experimental results show that pre-trained word embeddings can boost the accuracy of supervised learning algorithms trained over gang members social media posts.  ...  Any opinions, findings, and conclusions/recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the NSF or NIH.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1610.08597v1">arXiv:1610.08597v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/daiiow755vhmbasq6tb7kamxqa">fatcat:daiiow755vhmbasq6tb7kamxqa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191022102008/https://arxiv.org/pdf/1610.08597v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/68/05/6805602945cae435bb820cdc26e8a3b61e8d1892.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1610.08597v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Deep Learning for Multi-class Antisocial Behaviour Identification from Twitter

Ravinder Singh, Sudha Subramani, Jiahua Du, Yanchun Zhang, Hua Wang, Khandakar Ahmed, Zhenxiang Chen
<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
A thorough investigation of the correctly and wrongly classified tweets afford the opportunity for active learning and classification refinement.A.  ...  EXPERIMENT DESIGN AND ANALYSIS This section discusses the process of automatic classification experiments for category identification from ASB posts in detail.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.3030621">doi:10.1109/access.2020.3030621</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/i6jzo4btlzar5nfcgma62n5ynm">fatcat:i6jzo4btlzar5nfcgma62n5ynm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201021063223/https://ieeexplore.ieee.org/ielx7/6287639/6514899/09222124.pdf?tp=&amp;arnumber=9222124&amp;isnumber=6514899&amp;ref=" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/6c/c8/6cc8dbd24d54a256ce22abd8f91e43fdf70d0360.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.3030621"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

Vaporous Marketing: Uncovering Pervasive Electronic Cigarette Advertisements on Twitter

Eric M. Clark, Chris A. Jones, Jake Ryland Williams, Allison N. Kurti, Mitchell Craig Norotsky, Christopher M. Danforth, Peter Sheridan Dodds, Raymond Niaura
<span title="2016-07-13">2016</span> <i title="Public Library of Science (PLoS)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s3gm7274mfe6fcs7e3jterqlri" style="color: black;">PLoS ONE</a> </i> &nbsp;
Twitter has become the "wild-west" of marketing and promotional strategies for advertisement agencies.  ...  A sentiment analysis using Hedonometrics was performed on Organic tweets to quantify the change in consumer sentiments over time.  ...  CJ, AK is supported in part by the National Institute of Health (NIH) Research awards R01DA014028 & R01HD075669, and by the Center of Biomedical Research Excellence Award P20GM103644 from the National  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pone.0157304">doi:10.1371/journal.pone.0157304</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/27410031">pmid:27410031</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4943591/">pmcid:PMC4943591</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ljuy5d3zifafthnzlp6z4qiq4m">fatcat:ljuy5d3zifafthnzlp6z4qiq4m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20171011210255/http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0157304&amp;type=printable" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c7/ab/c7abced5d9c84369f90a2630f5143867fd1bf609.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pone.0157304"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> plos.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4943591" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Health Monitoring on Social Media over Time

Sumit Sidana, Shashwat Mishra, Sihem Amer-Yahia, Marianne Clausel, Massih-Reza Amini
<span title="">2016</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ibcfmixrofb3piydwg5wvir3t4" style="color: black;">Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval - SIGIR &#39;16</a> </i> &nbsp;
Our experiments on an 8-month corpus of tweets show that it largely outperforms its predecessors.  ...  Social media has become a major source for analyzing all aspects of daily life.  ...  EXPERIMENTS We conducted experiments to evaluate the performance of TM-ATAM and to compare with the state of the art.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2911451.2914697">doi:10.1145/2911451.2914697</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/sigir/SidanaMACA16.html">dblp:conf/sigir/SidanaMACA16</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gg7ujk22xbddtb5xmsewtafbhu">fatcat:gg7ujk22xbddtb5xmsewtafbhu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190218130608/https://static.aminer.org/pdf/20170130/pdfs/sigir/8zjv1vklnfsccxdwuztkibyghjex0yq6.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/1a/bc/1abc0a2290902aa3fd22aea6c5ba05b840d4ad37.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2911451.2914697"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>
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