Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
A study of design and implementation of domestic news collection system based on Python. |
| Συγγραφείς: |
Kumar, Kandru Arun1 (AUTHOR) kandruarun002@gmail.com, Rabbani, Shaik1 (AUTHOR), Sathwika, Pippari1 (AUTHOR), Reddy, Nandikonda Srinivas1 (AUTHOR), Ajay, Ankam1 (AUTHOR), Ajay, Vadde1 (AUTHOR), Lakshmi, S. Rama2 (AUTHOR) |
| Πηγή: |
AIP Conference Proceedings. 2026, Vol. 3418 Issue 1, p1-7. 7p. |
| Θεματικοί όροι: |
*Python programming language, *News websites, *News agencies, *Business journalism |
| Περίληψη: |
In the era of fast Internet expansion, online media has popped up as a primary source for individuals to get an understanding into global affairs, owing to its swift dissemination and widespread reach. Whilst news serves as a conduit for understanding the world around us, the sheer volume of online news production poses a challenge in discerning relevant information. Nowadays, people's lives are greatly impacted by the necessity to quickly and properly get relevant news items from websites. With this method, consumers will be able to easily get concise and understandable news stories curated from many websites. Users have the option to search for specific keywords to tailor their news consumption, thus enabling personalization. Focused on domestic financial news content, the system facilitates easy information processing for users. To prevent information redundancy, the system incorporates a custom deduplication rule. Employing Python alongside the Scrapy and Django frameworks streamlines the system's implementation, simplifying its code. Giving people easy, quick, and relevant access to domestic financial news is where this system really shines in terms of practical utility. [ABSTRACT FROM AUTHOR] |
| Βάση Δεδομένων: |
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