A sentiment analysis of AlDub-related tweets using a model-based approach / Jenny M. Aducal [and three others]

By: Contributor(s): Material type: TextTextPublication details: Manila : National University, 2016Description: v, 17 leaves ; 28 cmLOC classification:
  • UGT CCIT BSCS-DF .A38 2016
Contents:
1. Introduction -- 2. Review of related literature -- 3. Theoretical background -- 4. Proposed solution to the problem -- 5. Analysis -- 6. Evaluation and discussion --7. Conclusions and recommendation -- 8. References -- 9. Appendix: personal information.
Summary: The goal of this research is to classify short twitter messages with regards to their sentiment using data mining techniques.
Item type: Thesis
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Holdings
Item type Current library Home library Collection Call number Copy number Status Date due Barcode
Thesis Thesis National University - Manila LRC - Main Thesis Digital Forensic UGT CCIT BSCS-DF .A38 2016 (Browse shelf(Opens below)) c.1 Available UGTHE000001450

Includes bibliographical references.

1. Introduction -- 2. Review of related literature -- 3. Theoretical background -- 4. Proposed solution to the problem -- 5. Analysis -- 6. Evaluation and discussion --7. Conclusions and recommendation -- 8. References -- 9. Appendix: personal information.

The goal of this research is to classify short twitter messages with regards to their sentiment using data mining techniques.

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