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| 005 | 20240224113959.0 | ||
| 008 | 240224s2023 |||a|||| abm| 00| 0 eng d | ||
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_aTUPM _beng _cTUPM _erda |
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| 050 |
_aBTH QA 76 _bC36 2023 |
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| 100 | 1 | _aCañas, Neil Michael D. | |
| 245 | 1 |
_aSIDetect : _bA Web-Base Application for Detecting Suicidal Ideations (SI) Using Natural Language Processing and Machine Learning / _cNeil Michael D. Cañas, Carlo M. Salva, Saeymond Charles N. Serrano, Jihad M. Yusoph. |
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| 264 |
_aManila : _bTechnological University of the Philippines, _c2023. |
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| 300 |
_ax, 124 pages : _billustrations ; _c29 cm. + _e1 CD-ROM (4 3/4 in.) |
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_2rdacontent _atext |
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_2rdamedia _aunmediated |
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| 338 |
_2rdacarrier _avolume |
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| 500 | _aThesis (Undergraduate) | ||
| 502 |
_aCollege of Science -- _bBachelor of Science in Computer Science, _cTechnological University of the Philippines, _d2023. |
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| 504 | _aIncludes bibliographical references. | ||
| 520 | 3 | _aThis thesis introduces SIDetect, a web-based application that uses machine learning (ML) and natural language processing (NLP) methods to identify suicidal ideations (SI). The system uses natural language processing (NLP) to extract pertinent information from user-generated text, which is then examined using machine learning (ML) algorithms to find patterns that suggest the presence of suicidal ideations. A dataset of user-generated text with SI and non-SI instances was used to assess the system. It was developed using Visual Studio Code, Open API, and Python as the programming language. The user interface of the system was also assessed and found to be intuitive and user-friendly. The system was evaluated using ISO 25010 criteria for quality assurance, with a total of 23 respondents consisting of IT/CS, Psychology students, and professionals from the IT and Psychology field. According to the evaluation's findings, SIDetect achieved an overall score of 3.55, indicating a Highly Acceptable rating.--Author's Abstract | |
| 650 |
_aSuicidal behavior _xComputer programs. |
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| 700 | 1 | _aSalva, Carlo M. | |
| 700 | 1 | _aSerrano, Saeymond Charles N. | |
| 700 | 1 | _aYusoph, Jihad M. | |
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_2lcc _cBTH COS _n0 |
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_c28509 _d28509 |
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