000 | 01420nam a2200205Ia 4500 | ||
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003 | NULRC | ||
005 | 20250725162620.0 | ||
008 | 250725s9999 xx 000 0 und d | ||
040 | _clcc | ||
050 | _aUGT CCIT BSCS .J37 2018 | ||
100 |
_aJarin, Elleah Kim J. _eauthor |
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245 | 0 |
_aSentiment analysis of disaster tweets : _bcomparative analysis of preprocessed data / _cElleah Kim J. Jarin, Rhio Mae Manaog and John Rey M. Naguit |
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260 |
_aManila : _bNational University, _c2018 |
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300 |
_axiv, 40 leaves : _billustrations ; _c28 cm. |
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504 | _aIncludes bibliographical references. | ||
505 | _aTitle page -- National/International Conference Acceptance Letter -- Approval sheet -- Panel recommendation sheet -- Certificate of grammar checked -- Acknowledgement -- Abstract -- Table of contents -- List of tables -- List of figures -- List of equations -- Chapter I. Introduction -- Chapter II. Review of related literature and studies -- Chapter III. Design and methodology -- Chapter IV. Results, and discussion -- Chapter V. Conclusion and recommendations -- References -- Appendices. | ||
520 | _aThis paper introduces models for disaster-related tweets. The emphasis is on Twitter information created during and after the devastation of Typhoon Yolanda, which affected the Philippines in November 2013. | ||
700 |
_aManaog, Rhio Mae;Naguit, John Rey M. _eco-author;co-author |
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942 |
_2lcc _cTHESIS |
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999 |
_c24210 _d24210 |