An intelligent framework to predict socioeconomic impact of COVID-19 and public sentiments / Adeena Nasir. [Thesis or Dissertation]
Material type: TextLanguage: English Publication details: Islamabad : COMSATS University Islamabad, 2020.Description: xvi, 104 pages : color illustrations ; 30 cm + 1 CD-ROM (4 3/4 in.)Subject(s):- External Examiner: Sohail Iqbal, Dr. AP, Computing (SEECS), NUST, Islamabad. External Examiner: Sohail Iqbal, Dr. AP, Computing (SEECS), NUST, Islamabad
- Munam Ali Shah, Dr. Supervisor, AP, Computer Science
- COVID-19--Healthcare system--Sentiment analysis
- Intelligent framework--Human distress--Machine learning techniques
- 004 NAS-A
- 004 NAS-A
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 NAS-A 11114 (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: Sohail Iqbal, Dr. AP, Computing (SEECS), NUST, Islamabad. | 10001TP0011114 |
Total holds: 0
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: Sohail Iqbal, Dr. AP, Computing (SEECS), NUST, Islamabad. COMSATS University Islamabad
MS (Computer Science).
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