Abstract
This study aims to analyze author consistency in journal writing and make a simple conclusion by measuring word similarity based on journal content: Title, Abstract, Introduction, and Conclusion. Therefore, this research proposes techniques from Natural Language Processing to clean words, TF-IDF, to determine the vector and cosine similarity, which is used to calculate the similarity of words that are considered similar. All the proposed algorithms can produce consistent values and simple conclusions that are used as accurate information based on data from the identified journal content. The results of this study show that the consistency value after being analyzed is 0.74 or 74%, and a simple conclusion is obtained, which becomes exciting information from the journal content presented.
| Original language | English |
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| Title of host publication | 2024 International Seminar on Intelligent Technology and Its Applications |
| Subtitle of host publication | Collaborative Innovation: A Bridging from Academia to Industry towards Sustainable Strategic Partnership, ISITIA 2024 - Proceeding |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 190-195 |
| Number of pages | 6 |
| Edition | 2024 |
| ISBN (Electronic) | 9798350378573 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 25th International Seminar on Intelligent Technology and Its Applications, ISITIA 2024 - Hybrid, Mataram, Indonesia Duration: 10 Jul 2024 → 12 Jul 2024 |
Conference
| Conference | 25th International Seminar on Intelligent Technology and Its Applications, ISITIA 2024 |
|---|---|
| Country/Territory | Indonesia |
| City | Hybrid, Mataram |
| Period | 10/07/24 → 12/07/24 |
Keywords
- Cosine Similarity
- Natural Language Processing
- TF-IDF
