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Product sentiment analysis tool using Twitter Social Media. [thesis] / Andrzej Koeller.

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Material type: Text

TextPublication details: Limerick : Institute of Technology, 2014.Description: 79 p. : col. ill. ; 30 cmSubject(s):

DDC classification:

Dissertation note: Thesis submitted for B.Sc. in Software Development 2014.

Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
2 Hour Loan	Moylish Library Theses Collection	Thesis SD 14/04 (Browse shelf(Opens below))	1	Library Use Only		39002100670323

Previous	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	Next
Previous	Thesis SD 14/01 Web application Issue Tracking Tool	Thesis SD 14/02 Lecture room organiser with Room Occupancy Sensor Lectro	Thesis SD 14/03 Artificial Intelligence Powered Data Synthesizer .	Thesis SD 14/04 Product sentiment analysis tool using Twitter Social Media.	Thesis SD 14/05 Migration from Struts 1.x to Spring Web WVC framework.	Thesis SD 14/06 Developing a VMware Orchestrator Plugin which interacts with a virtual machine.	Thesis SD 14/07 Development of a 2D arcade game for an android smart phone.	Next

Thesis submitted for B.Sc. in Software Development 2014.

Includes bibliographical references and appendix.