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Extraction and Categorization of Tip Information from Social Media
unpublished
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However, it is difficult to extract such important information from social media, because so much information exists. We propose a method to extract such important information from social media. ...
We first extract user's experience sentences from social media based on experience mining method. Next, we extract sentences which are include tip keywords from them. They become tip information. ...
We designate such important and unique information related to social media as "tip information". We proposed a method to extract such tip information from social media [1] . ...
fatcat:pnnu7livkrcsjefsmnyuc6orlm
Extract Genuine Healthcare Posts on Social Media
2019
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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Nowadays, food habits are greatly influenced by social media. Health-related data such as home remedies, diet management, and beauty tips are mainly focused in this paper. ...
Social media plays an important role in spreading the news. ...
This process called Data extraction. Here we extract posts, comments, likes, etc, according to specific social media network. We extract data from social media based on health-related keywords. ...
doi:10.35940/ijitee.l2549.1081219
fatcat:fw7uadkwejfvho7tcvoksswfkm
Interest Aware Location-Based Recommender System Using Geo-Tagged Social Media
2016
ISPRS International Journal of Geo-Information
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On the other hand, SNs have large amounts of geo-tagged media that are under-utilized. ...
Advances in location acquisition and mobile technologies led to the addition of the location dimension to Social Networks (SNs) and to the emergence of a newer class called Location-Based Social Networks ...
Typically, LBSNs extract tags by analyzing the tips. In the SN, these descriptive tags exist in the form of annotations on geo-tagged social media content. ...
doi:10.3390/ijgi5120245
fatcat:zhjvlle2m5fpja6pmlyseql6au
Analysing Social Media as a Hybrid Tool to Detect and Interpret likely Radical Behavioural Traits for National Security
2019
2019 IEEE International Conference on Big Data (Big Data)
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The advent of the Internet has placed Social Media as a crucial asset to extract information from the virtual realm and strengthen a strategic analysis, since its core values lie firstly in the speed with ...
Social Media, Funding of Organisations or Strategic Leaks [2] . ...
doi:10.1109/bigdata47090.2019.9006259
dblp:conf/bigdataconf/CardenasO0K19
fatcat:kgjbuz4xm5ggvnyav6cuyzcg5e
Mental health information online: what we have learned from social media metrics in BuzzFeed's Mental Health Week
2018
Trends in Psychiatry and Psychotherapy
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Methods We extracted social media metrics from the 20 posts with the highest number of BuzzFeed interactions on the BFMHW website and from 41 videos available on the BFMHW playlist created by the BuzzFeed ...
Objective To analyze BuzzFeed's Mental Health Week (BFMHW) interactions on its own website and in related social media platforms (Facebook, Twitter and YouTube) using metrics of information delivery in ...
BFMHW on the BuzzFeed website Based on the strategies most commonly used by content media to verify the impact of publications, we extracted social media metrics from the BFMHW website 13 on February ...
doi:10.1590/2237-6089-2018-0023
pmid:30156651
fatcat:cxvmv3f2tbhonob7353rzuy6y4
Large Social Networks can be Targeted for Viral Marketing with Small Seed Sets
[article]
2013
arXiv
pre-print
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In a "tipping" model, each node in a social network, representing an individual, adopts a behavior if a certain number of his incoming neighbors previously held that property. ...
Our approach finds a set of nodes that guarantees spreading to the entire network under the tipping model. ...
All were extracted from social media websites. For some of the lower threshold levels, the size of the set of seed nodes was particularly small. ...
arXiv:1205.4431v2
fatcat:e5fhixshvfg7fmcqq2innngeo4
Tourist Activity Analysis by Leveraging Mobile Social Media Data
2017
Journal of Travel Research
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In this paper, we present a new approach to travel diary construction based on the venue check-in data available in mobile social media with rich information on locations, time, and activities. ...
However, they fail to provide detailed contextual information on tourist activities for further analysis. ...
The combination of mobile devices and social media is referred to as mobile social media (Kaplan 2012) . ...
doi:10.1177/0047287517722232
fatcat:yonk26jspjg45kk32dur7acogi
Quality of claim metrics in social sensing systems: A case study on IranDeal
2016
2016 6th International Conference on Computer and Knowledge Engineering (ICCKE)
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The main dataset is the #IranDeal extracted from Twitter. To compare the quality metrics, a second dataset is crawled from the Fouresqure social network. ...
A number of factors are discussed as an influencer of the variation, such as the query criteria of the extracted dataset, the characteristics of the QoC metric, and the type of the social network. ...
The second dataset is extracted from the Foursquare social network. ...
doi:10.1109/iccke.2016.7802128
fatcat:pongzeh5nrhsdndwv476qcn5ya
TipMe
2015
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015 - ASONAM '15
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The extraction of user preferences from content provided in social media and especially in review sites can be a valuable tool both for users and businesses. ...
We envision this model as a powerful tool for planning and executing a successful marketing campaign via online media. ...
We focused our analysis only to information extracted from the tips, although our approach is easily extended to include the more detailed reviews. ...
doi:10.1145/2808797.2809324
dblp:conf/asunam/ProiosEV15
fatcat:zc36uedtj5fbban5ketzjtstce
Social tipping dynamics for stabilizing Earth's climate by 2050
2020
Proceedings of the National Academy of Sciences of the United States of America
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within their functional domains that we refer to as social tipping elements (STEs). ...
Here, we discuss and evaluate the potential of social tipping interventions (STIs) that can activate contagious processes of rapidly spreading technologies, behaviors, social norms, and structural reorganization ...
This is shown by public opinion polls on, for example, political preferences following information flows, particularly in online social media (141) . ...
doi:10.1073/pnas.1900577117
pmid:31964839
pmcid:PMC7007533
fatcat:rqms6vatvjaivl4uvcqqk3v3xe
Spatio-temporal provenance: Identifying location information from unstructured text
2013
2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)
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In this paper, we will focus on deriving such location provenance information from unstructured text generated by social media. ...
As social media such as Facebook and Twitter are integrated with mobile devices, information generated by individuals in these networks gets tagged with spatial markers. ...
Twitter, a source of unstructured text social media generates valuable information in the form of individuals' opinions. ...
doi:10.1109/percomw.2013.6529548
dblp:conf/percom/LeeGSM13
fatcat:u45ehbt3ufacfokkbgil4p3u4q
Social Media in Physician Education
2021
Cureus
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Social media has fundamentally changed the practice of medicine. ...
Methods To evaluate the utility of social media in engaging physicians, four vignettes were utilized to highlight Class 1 indications for transvenous lead extraction (TLE), an electrophysiology procedure ...
Most posts are not subjected to proofreading and can contain misleading and false information. 2) Partaking in social media can be timeconsuming. 3) Social media has the risk of damaging the professional ...
doi:10.7759/cureus.19081
pmid:34849311
pmcid:PMC8623947
fatcat:dbse5z76avgnpjim2rfgyext74
A scalable heuristic for viral marketing under the tipping model
2013
Social Network Analysis and Mining
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In a "tipping" model, each node in a social network, representing an individual, adopts a property or behavior if a certain number of his incoming neighbors currently exhibit the same. ...
In addition, our approach scales well -on a Friendster social network consisting of 5.6 million nodes and 28 million edges we found a seed set in under Public reporting burden for the collection of information ...
-Flixster is a social media website that allows users to share reviews and other information about cinema. [35] It was extracted in Dec. 2010. -FourSquare is a location-based social media site. ...
doi:10.1007/s13278-013-0135-7
fatcat:7sevihnv2verxbygcbx5j6mhai
Automatic classification of software related microblogs
2012
2012 28th IEEE International Conference on Software Maintenance (ICSM)
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We extract features from the textual content of the microblogs and the titles of any URLs mentioned in the microblogs. ...
., Storey, and Yuan et al. have shown that a wealth of interesting information is stored in these microblogs. ...
Storey highlights the roles that various social media, ranging from question and answer sites, microblogging sites, social coding sites, etc., could play in improving software development [14] . ...
doi:10.1109/icsm.2012.6405330
dblp:conf/icsm/PrasetyoLATL12
fatcat:2a34fevt7zghdmp4ccnvluw7gy
Students' Voices of the Use of Facebook and Instagram in Teaching English in the University Context
2022
IJoLE: International Journal of Language Education
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The informants has been using social media in their daily life and also nowadays has applied the social media as a tool of learning English. ...
Findings from this study will become important input for students themselves in the university context and also as beneficial information among the university practitioners in order to make use the social ...
" It can be seen from the above extracts that with the so many videos post in social media, students can take benefits from those post. ...
doi:10.26858/ijole.v6i2.24757
fatcat:xgsdtjgwcjbcjmwofz4zyno6oe
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