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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Shortpress - News recommender summarizer translator with GPT3 |
| Authors Name: | Prasenjeet Shirsat , Sahil Golatkar , Pavan Gupta |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_192685
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| Published Paper Id: | IJNRD2304571 |
| Published In: | Volume 8 Issue 4, April-2023 |
| DOI: | |
| Abstract: | In today's digital age, the consumption of news has been transformed by the availability of countless articles online. This abundance of information can make it difficult for readers to keep up with the latest events happening worldwide. Furthermore, language barriers can limit access to news articles written in unfamiliar languages. To address these challenges, news recommendation, summarizer, and translator apps have been developed using algorithms and machine learning techniques to recommend personalized news articles, summarize lengthy articles into shorter versions, and translate articles from one language to another. This paper aims to investigate the effectiveness of these apps in facilitating news consumption in the digital age. Through our evaluation of user experiences with these apps, we have identified their strengths and limitations. Our findings indicate that these apps are effective in improving news consumption, particularly for users who prefer personalized content and access news in their native language. However, we have also identified areas for improvement, such as enhancing the accuracy of machine translations and improving the summarization algorithms. Overall, our study provides valuable insights into the role of news recommendation, summarizer, and translator apps in facilitating news consumption in the digital age. |
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| Cite Article: | "Shortpress - News recommender summarizer translator with GPT3 ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 4, page no.f601-f607, April-2023, Available :http://www.ijnrd.org/papers/IJNRD2304571.pdf |
| Downloads: | 000118752 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2304571 Registration ID: 192685 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): Page No: f601-f607 Country: Mumbai, Maharashtra, India Research Area: Information Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2304571 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2304571 |
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ISSN: 2456-4184
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