000			02159ntm a2200301 i 4500
003			OSt
005			20240306094557.0
008			240306s2019 |||a|||| abm| 00| 0 eng d
040			_aTUPM _beng _cTUPM _erda
050			_aBTH T 58.5 _bD33 2019
100	1		_aDadulla, Zandro P., Jr.
245	1	0	_aDevelopment of Sentiment Analysis for TUP Manila Campus Offices / _cZandro P. Dadulla Jr., Keanu Dave S. De Leon, John Airish C. Del Mundo, Benjamin N. Nacis Jr.
264			_aManila : _bTechnological University of the Philippines, _c2019.
300			_ax, 73 pages : _billustrations ; _c29 cm. + _e1 CD-ROM (4 3/4 in.)
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
500			_aThesis (Undergraduate)
502			_aCollege of Industrial Technology -- _bBachelor of Technology major in Information Technology _cTechnological University of the Philippines, _d2019.
504			_aIncludes bibliographical references.
520	3		_aThe goal of this study, Development of Sentiment Analysis for TUP Manila Offices, aims to provide a medium in where students, faculties, staffs, and visitor express their sentiment towards a particular office, in which can be shown in a graphical representation where it shows the volume of data and the performance of each office. It also has the feature of understanding Filipino sentences. The development of the system used web applications and libraries such as Bootstrap, Query, Highcharts, Font Awesome, TextBlob and MySQL. Over 31 different evaluators, composed of students, faculty, staffs, employees, and visitors were used for the testing of the system and the results showed that the requirement was met in terms of the systems functionality and reliability. With the usage of the ISO 25010:2011 standards, the overall mean of 4.46 shows excellent in quality, in terms of being useful towards different users that is target by the system.--Author's Abstract.
650			_aSentiment analysis.
700	1		_aDe Leon, Keanu Dave S.
700	1		_aDel Mundo, John Airish C.
700	1		_aNacis, Benjamin Jr. N.
942			_2lcc _cBTH CIT _n0
999			_c28555 _d28555