LEADER 03539oam 2200589 450 001 9910132647003321 005 20221206094423.0 010 $a9782821812277$b(ebook) 010 $z9782821812260$b(paperback) 024 7 $a10.4000/books.oep.198 035 $a(CKB)3680000000164684 035 $a(SSID)ssj0000986024 035 $a(PQKBManifestationID)11544611 035 $a(PQKBTitleCode)TC0000986024 035 $a(PQKBWorkID)10933431 035 $a(PQKB)11560178 035 $a(WaSeSS)Ind00074734 035 $z(PPN)182833321 035 $a(FrMaCLE)OB-oep-198 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/55287 035 $a(PPN)180217992 035 $a(EXLCZ)993680000000164684 100 $a20160829d2012 uy | 101 0 $afre 135 $aur||#|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aOpinion mining et sentiment analysis méthodes et outils $eméthodes et outils /$fDominique Boullier et Audrey Lohard 210 $cOpenEdition Press$d2012 210 31$aFrance :$cOpenEdition Press,$d2012 215 $a1 online resource $cdigital, PDF file(s) 225 0 $aSciences Po, me?dialab 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$aPrint version: 9782821812260 320 $aIncludes bibliographical references. 330 $aOpinion mining is on the way to becoming a real industry, just as strategic as that of polls. The promises made are impressive: the computing power of computer tools would make it possible to follow all the evolutions of opinion on the web in real time, whatever the volume. Moreover, the linguistic processing capacities would make it possible to detect the tones of all the verbatims collected, thanks to the so-called ?sentiment analysis? methods. The state of the art of commercial and technological offers presented in this book takes account of this effervescence but also underlines its excessiveness, by taking care to distinguish the real results from the sometimes misleading promotional slogans. he book written by researchers from the medialab of Sciences Po, a laboratory specializing in the processing of the masses of data available on the web for the social sciences, also makes it possible to situate the interest of these new technical means for research, in the context of of what are now called ?digital humanities?. Finally, anxious to allow each reader to take in hand these tools, certainly powerful but with very real limits of validity, the authors describe step by step all the phases of a project mobilizing the methods of opinion mining, specifying the pitfalls. and the imperatives of intervention of human expertise, always necessary. Largely illustrated, this book should encourage researchers, public opinion and marketing professionals as well as computer scientists and specialists in ?web studies? to exchange views in order to advance these common tools. 606 $aEngineering & Applied Sciences$2HILCC 606 $aComputer Science$2HILCC 610 $aédition électronique 610 $aweb 610 $adigital humanities 610 $ausages 615 7$aEngineering & Applied Sciences 615 7$aComputer Science 700 $aBoullier$b Dominique$0801430 702 $aLohard$b Audrey 801 0$bPQKB 801 2$bUkMaJRU 912 $a9910132647003321 996 $aOpinion mining et sentiment analysis méthodes et outils$92115473 997 $aUNINA LEADER 01453nam a2200301 i 4500 001 991000988689707536 008 101207s2010 nyua b 001 0 eng d 020 $a9780387927114 035 $ab13942761-39ule_inst 040 $aDip.to Matematica$beng 082 0 $a616.07$221 084 $aAMS 92C55 084 $aAMS 44A12 084 $aAMS 93E11 100 1 $aFeeman, Timothy G.$0451114 245 14$aThe mathematics of medical imaging :$ba beginner's guide /$cTimothy G. Feeman 260 $aNew York :$bSpringer,$cc2010 300 $axii, 141 p. :$bill. ;$c25 cm 440 0$aSpringer undergraduate texts in mathematics and technology,$x1867-5506 504 $aIncludes bibliographical references (p. 137-138) and index 505 0 $aContents: 1. X-rays ; 2. The radon transform ; 3. Back projection ; 4. Complex numbers ; 5. The Fourier transform ; 6. Two big theorems ; 7. Filters and convolution ; 8. Discrete image reconstruction ; 9. Algebraic reconstruction techniques ; 10. MRI - An overview. ; Appendix A. Integrability ; Appendix B. Topics for further study 650 0$aDiagnostic imaging$xMathematics 907 $a.b13942761$b28-07-20$c07-12-10 912 $a991000988689707536 945 $aLE013 92C FEE11 (2010)$g1$i2013000213934$lle013$op$pE39.95$q-$rl$s- $t0$u2$v1$w2$x0$y.i15247983$z04-04-11 996 $aMathematics of medical imaging$9251342 997 $aUNISALENTO 998 $ale013$b07-12-10$cm$da $e-$feng$gnyu$h4$i0