ANALYSIS OF DISCUSSION TENDENCY ON TWITTER SOCIAL MEDIA WITH TEXT CLASSIFICATION
Discussion on social media sometimes results in the emergence of several groups. The groups that often appear are Pro, Neutral, and Contra. However, there are several other groups that have emerged, namely Uncorrelated, and Sarcasm. This thesis aims to develop a text classification model that can...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/67164 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |