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)
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
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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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