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https://hdl.handle.net/10356/184612| Title: | Sentic API testing for polarity classification | Authors: | Tay, Lu Kang | Keywords: | Computer and Information Science | Issue Date: | 2025 | Publisher: | Nanyang Technological University | Source: | Tay, L. K. (2025). Sentic API testing for polarity classification. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/184612 | Project: | CCDS24-0968 | Abstract: | Sentiment analysis also known as opinion mining, uses Natural Language Processing (NLP) to analyze a given text and identify the underlying emotion associated with the text. The sentiments are identified as negative, neutral or positive. Sentiment analysis helps to provide valuable insights with regards to opinions, feedbacks as well trends. The insights can be performed on social media, online shopping platforms and many more providing insights. | URI: | https://hdl.handle.net/10356/184612 | Schools: | College of Computing and Data Science | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
| Appears in Collections: | CCDS Student Reports (FYP/IA/PA/PI) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Report.pdf Restricted Access | 1.96 MB | Adobe PDF | View/Open |
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