Veda, Janitra (2020) Sentiment Analysis using Vector Space Model and Naive Bayes. Other thesis, Universitas Katolik Soegijapranata Semarang.
|
Text (COVER)
16.K1.0044_COVER.pdf Download (514kB) | Preview |
|
|
Text (BAB 1)
16.K1.0044_BAB 1.pdf Download (65kB) | Preview |
|
![[img]](https://repository.unika.ac.id/style/images/fileicons/text.png) |
Text (BAB 2)
16.K1.0044_BAB 2.pdf Restricted to Registered users only Download (83kB) |
|
|
Text (BAB 3)
16.K1.0044_BAB 3.pdf Download (692kB) | Preview |
|
|
Text (BAB 4)
16.K1.0044_BAB 4.pdf Download (343kB) | Preview |
|
|
Text (BAB 5)
16.K1.0044_BAB 5.pdf Download (479kB) | Preview |
|
|
Text (BAB 6)
16.K1.0044_BAB 6.pdf Download (61kB) | Preview |
|
|
Text (DAFTAR PUSTAKA)
16.K1.0044_DAFTAR PUSTAKA.pdf Download (180kB) | Preview |
|
|
Text (LAMPIRAN)
16.K1.0044_LAMPIRAN.pdf Download (348kB) | Preview |
Abstract
With the progress of times like this, social media is an important thing in life. Freedom of opinion is also very large on social media, like on the Twitter, Facebook, Instagram and many others. Therefore, this opinion can be analyzed by obtaining data from the public. This project aims to analyze the sentiments that exist on Twitter with social distancing hashtags and compare which algorithm is better to use. This project compares 2 algorithms, namely the Vector Space Model and the Naive Bayes. The final results obtained are in the form of performance results from each algorithm using different test schemes. To see maximum results.
| Item Type: | Thesis (Other) |
|---|---|
| Subjects: | 000 Computer Science, Information and General Works |
| Divisions: | Faculty of Computer Science > Department of Informatics Engineering |
| Depositing User: | ms F. Dewi Retnowati |
| Date Deposited: | 23 Apr 2021 03:55 |
| Last Modified: | 23 Apr 2021 03:55 |
| URI: | http://repository.unika.ac.id/id/eprint/24498 |
Actions (login required)
 |
View Item |
