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A novel model for sentiment analysis of COVID-19 using supervised machine learning / Ummarah Ashraf. [Thesis or Dissertation]

By:

Ashraf, Ummarah [FA18-RCS-040/ISB]

Material type: Text

TextLanguage: English Publication details: Islamabad : COMSATS University Islamabad, 2020.Description: xiii, 72 pages : color illustrations ; 30 cm + 1 DVD-ROM (4 3/4 in.)Subject(s):

Genre/Form:

Computer Science

DDC classification:

004 ASH-A

Other classification:

004 ASH-A

Dissertation note: A 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. COMSATS University Islamabad

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Holdings
Item type	Current library	Collection	Call number	URL	Copy number	Status	Notes	Date due	Barcode	Item holds
Thesis or Dissertation	Junaid Zaidi Library, COMSATS University Islamabad 2nd Floor	Thesis or Dissertation	T 004 ASH-A 11059 (Browse shelf(Opens below))	Link to resource	1	Available	A 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.		10001TP0011059

Total holds: 0

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A 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. COMSATS University Islamabad

MS (Computer Science).

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