000			01684nam a2200241Ia 4500
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040			_aJZL-CUI _cCOMSATS University Islamabad
041			_aeng
082			_a004 _bASH-A
084			_a004 ASH-A
100			_aAshraf, Ummarah.. _eFA18-RCS-040/ISB _uCOMSATS University Islamabad
245		2	_aA novel model for sentiment analysis of COVID-19 using supervised machine learning / _cUmmarah Ashraf. _h[Thesis or Dissertation]
260			_aIslamabad : _bCOMSATS University Islamabad, _c2020.
300			_axiii, 72 pages : _bcolor illustrations ; _c30 cm + _e1 DVD-ROM (4 3/4 in.)
502			_bA Post Graduate thesis submitted to the department of Computer Science as a partial fulfillment of the requirement for the award of degree of MS (Computer Science).External Examiner: Muhammad Shiraz, Dr. AP, Computer Science, Federal Urdu University, Islamabad. _cCOMSATS University Islamabad
526			_aMS (Computer Science).
600			_aMuhammad Shiraz, Dr. _gExternal Examiner, AP, Computer Science, Federal Urdu University, Islamabad.
600			_aMunam Ali Shah, Dr. _gSupervisor, AP, Computer Science.
650			_aCOVID 19
650			_aRespiratory illness--Machine learning.
655			_aComputer Science
953			_pTP0011059 _aisb _bisb _c2nd Floor _xCD/DVD _zA Post Graduate thesis submitted to the department of Computer Science as a partial fulfillment of the requirement for the award of degree of MS (Computer Science).External Examiner: Muhammad Shiraz, Dr. AP, Computer Science, Federal Urdu University, Islamabad. _yVM _8Thesis or Dissertation _oT 004 ASH-A 11059 _t1 _uIn _eExamination Office, CUI _dJun 09, 2022 11:56:27
999			_c488418 _d488418