LEADER 01446nam0 22003373i 450 001 VAN00289321 005 20250317102227.318 017 70$2N$a9783319253435 100 $a20250317d2016 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 181 $ai$b e 182 $ab 183 $acr 200 1 $aProminent Feature Extraction for Sentiment Analysis$fBasant Agarwal, Namita Mittal 210 $aCham$cSpringer$d2016 215 $aXIX, 103 p.$cill.$d24 cm 410 1$1001VAN00282468$12001 $aSocio-Affective Computing$1210 $aCham$cSpringer$d2015- 620 $aCH$dCham$3VANL001889 700 1$aAgarwal$bBasant$3VANV244230$01062677 701 1$aMittal$bNamita$3VANV244231$01737664 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20250321$gRICA 856 4 $uhttps://link.springer.com/book/10.1007/978-3-319-25343-5$zE-book - Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI SCIENZE E TECNOLOGIE AMBIENTALI BIOLOGICHE E FARMACEUTICHE$1IT-CE0101$2VAN17 912 $fN 912 $aVAN00289321 950 $aBIBLIOTECA DEL DIPARTIMENTO DI SCIENZE E TECNOLOGIE AMBIENTALI BIOLOGICHE E FARMACEUTICHE$d17CONS e-book 177 $e17BIB177/461 461 20250317 996 $aProminent Feature Extraction for Sentiment Analysis$94326829 997 $aUNICAMPANIA