Sentimental analysis of twitter data using machine learning algorithms for business intelligence
Nosheen Nazir (F17A14G05025)
Sentimental analysis of twitter data using machine learning algorithms for business intelligence - Faisalabad (Unpublished) 2019 - vii, 69 p. : ill. ; 30 cm.
Submitted in fulfillment of requirements for the degree of Master of Sciences in Computer Science to the Faculty of Computing. Includes bibliographical references Thesis supervisor: Muhammad Waleed Ashraf
Thesis (MSCS)--Riphah International University, 2019
English
Machine learning
Neural networks (Computer science) --Molecular biology-Computer simulation --Bioinformatics --Data mining --FC
005 / NOS
Sentimental analysis of twitter data using machine learning algorithms for business intelligence - Faisalabad (Unpublished) 2019 - vii, 69 p. : ill. ; 30 cm.
Submitted in fulfillment of requirements for the degree of Master of Sciences in Computer Science to the Faculty of Computing. Includes bibliographical references Thesis supervisor: Muhammad Waleed Ashraf
Thesis (MSCS)--Riphah International University, 2019
English
Machine learning
Neural networks (Computer science) --Molecular biology-Computer simulation --Bioinformatics --Data mining --FC
005 / NOS