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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: | DISASTER MANAGEMENT WITH TWITTER USIG NLP |
| Authors Name: | Sanket Kesharwani , Shlok Gupta |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_189028
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| Published Paper Id: | IJNRD2304446 |
| Published In: | Volume 8 Issue 4, April-2023 |
| DOI: | |
| Abstract: | Microblogging platforms such as Twitter provide active communication channels during mass convergence and emergency events such as earthquakes, typhoons. During the sudden onset of a crisis situation, affected people post useful information on Twitter that can be used for situational awareness and other humanitarian disaster response efforts, if processed timely and effectively. Processing social media information pose multiple challenges such as parsing noisy, brief and informal messages, learning information categories from the incoming stream of messages and classifying them into different classes among others. One of the basic necessities of many of these tasks is the availability of data, in particular human-annotated data. In this paper, we present human-annotated Twitter corpora collected during 19 different crises that took place between 2013 and 2015. To demonstrate the utility of the annotations, we train machine learning classifiers. Moreover, we publish first largest word2vec word embeddings trained on 52 million crisis-related tweets. To deal with tweets language issues, we present human-annotated normalized lexical resources for different lexical variations. |
| Keywords: | Natural Language Processing, Twitter, Disaster Response, Supervised Learning |
| Cite Article: | "DISASTER MANAGEMENT WITH TWITTER USIG NLP", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 4, page no.e341-e344, April-2023, Available :http://www.ijnrd.org/papers/IJNRD2304446.pdf |
| Downloads: | 000118751 |
| 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:IJNRD2304446 Registration ID: 189028 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): Page No: e341-e344 Country: Allahabad, Uttar Pradesh, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2304446 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2304446 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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