Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.
Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicComplex Network Analysis Techniques
Canadian institutionsnot available
FundersSandia National LaboratoriesUniversity of North Carolina at Chapel HillSamsungSlovenská technická univerzita v BratislaveSingapore Management UniversityUniversität InnsbruckUniversité de LyonUniversiteit HasseltUniversity of Illinois at Urbana-ChampaignUniversität StuttgartUniversidade Federal de PernambucoPeking UniversityUniversidade Federal de Minas GeraisTechnische Universität BerlinUniversidad de ChileUniversidade de São PauloLos Alamos National LaboratoryCollege of ComputingNational and Kapodistrian University of AthensChinese University of Hong KongCentre National de la Recherche ScientifiqueSLAC National Accelerator LaboratoryUniversidade Federal do MaranhãoTechnische Universität WienVrije Universiteit BrusselHong Kong Polytechnic UniversitySapienza Università di RomaUniversität LeipzigAthabasca UniversityCyprus University of TechnologyTsinghua UniversityFondazione Bruno KesslerLeibniz-GemeinschaftPennsylvania State UniversitySimon Fraser UniversityIndiana University BloomingtonUniversità degli Studi di PadovaUniversidad de ValladolidEuskal Herriko UnibertsitateaFudan UniversityHanyang UniversityUniversität BielefeldVrije Universiteit AmsterdamUniversidade Federal do AmazonasErasmus Universiteit RotterdamUniversity of California, Santa BarbaraUniversity of IoanninaUniversité de FribourgGoogleUniversiteit van AmsterdamPohang University of Science and TechnologyWeizmann Institute of ScienceUniversity of California, San DiegoAalto-YliopistoUniversity of GalwayNanyang Technological UniversityNational University of SingaporeUniversity of OxfordUniversity College LondonUniversidade Federal do Rio de JaneiroCollege of CharlestonCarl von Ossietzky Universität OldenburgUniversité de MontpellierUniversity of TwenteInstituto Federal de Educação, Ciência e Tecnologia da ParaíbaMicrosoft Research AsiaUniversity of WaterlooMax Planck Institute for Software SystemsStony Brook UniversityKarlsruhe Institute of TechnologyInstitut "Jožef Stefan"University of MichiganUniversity of CyprusEidgenössische Technische Hochschule ZürichIndian Institute of Technology BombayInstitut national de recherche en informatique et en automatique (INRIA)Santa Fe InstitutePrinceton UniversityUniversity of PennsylvaniaUniversity of PatrasDartmouth CollegeSveučilište u ZagrebuUniversità degli Studi di TrentoUniversidad Nacional de La PlataLunds UniversitetDalhousie UniversityHebrew University of JerusalemUniversity of Maryland, Baltimore CountyDePaul UniversityUniversidade Federal de Ouro PretoAthens University of Economics and BusinessKorea UniversityCarnegie Mellon UniversityRensselaer Polytechnic InstituteHelsingin YliopistoOhio State UniversityInstitute for Scientific InterchangeNorthwestern UniversityUniversidade Federal do Rio Grande do NorteUniversity of MinnesotaPontificia Universidad Católica de ChileTU Graz, Internationale Beziehungen und MobilitätsprogrammeJohns Hopkins Bloomberg School of Public HealthFreie Universität BerlinUniversity of RochesterCardiff UniversityInstitute for Infocomm ResearchUniversität UlmÉcole des Mines de NantesUniversidad de AlicanteEmory UniversityUniversity of Southern CaliforniaAdobe SystemsPurdue UniversityUniversity of GlasgowUniversität des SaarlandesGeorge Mason UniversityUniversity of AberdeenHarvard UniversityArizona State UniversityBrown UniversityIndraprastha Institute of Information Technology, DelhiKyungpook National UniversityUniversity of New South WalesNational University of IrelandKempe FoundationUniversity of LouisvilleUniversity of TorontoKorea Advanced Institute of Science and TechnologyUniversity of AlbertaClemson UniversityUniversità degli Studi di FirenzeAalborg UniversitetUniversity of WashingtonKing Mongkut's University of Technology ThonburiIntel CorporationMicrosoft ResearchTechnische Universität ChemnitzRaytheon CompanyUniversidade de Santiago de CompostelaBaiduTechnische Universität DarmstadtLehigh UniversityCarleton CollegeCase Western Reserve UniversityTechnische Universiteit DelftSiemensFacebookYale University
KeywordsTask (project management)RecallComputer scienceWork (physics)Precision and recallSocial mediaInternet privacyData scienceBusinessWorld Wide WebArtificial intelligenceEngineeringPsychology
Abstract
fetched live from OpenAlexSince more and more people use the micro-blogging platform Twitter to convey their needs and desires, it has become a particularly interesting medium for the task of identifying commercial activities. Potential buyers and sellers can be contacted directly thereby opening up novel perspectives and economic possibilities. By detecting commercial intent in tweets, this work is considered a first step to bring together buyers and sellers. In this work, we present an automatic method for detecting commercial intent in tweets where we achieve reasonable precision 57% and recall 77% scores. In addition, we provide insights into the nature and characteristics of tweets exhibiting commercial intent thereby contributing to our understanding of how people express commercial activities on Twitter.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.740
Threshold uncertainty score0.998
Codex and Gemma teacher scores by category
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
Teacher spread0.223 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
