stdClass Object
(
    [id] => 6981
    [paper_index] => 202205-02-010255
    [title] => IMPLEMENTING THE EXTRACTIVE DISASTER TWEET SUMMARIZATION ALGORITHMS AND ANALYZING THEIR EFFICIENCY
    [description] => 
    [author] => Karuna Middha, Harshit Garg , Kshem Sharma, Rohan Aggarwal
    [googlescholar] => https://scholar.google.co.in/scholar?cluster=14213582566635672006&hl=en&as_sdt=0,5
    [doi] => 
    [year] => 2022
    [month] => May
    [volume] => 7
    [issue] => 5
    [file] => 346pm_35.EPRA JOURNALS 10255.pdf
    [abstract] => Social Media Websites, predominantly Twitter have become important sources for real-time situational information during emergency events like the entire country witnessed during the second wave of Covid-19 in our country. People turned to each other for help to arrange for beds, oxygen concentrators, etc. Since hundreds to thousands of microblogs or tweets are generally posted on Twitter during an emergency event, manually going through every tweet is not feasible. In such a scenario, it is critical to summarize the microblogs (tweets) and present informative summaries to the people who are attempting to respond to the disaster.
    [keywords] => Twitter, Extractive Summarization, Comparison Evaluation, Rouge
    [doj] => 2022-05-20
    [hit] => 1051
    [status] => y
    [award_status] => P
    [orderr] => 35
    [journal_id] => 2
    [googlesearch_link] => 
    [edit_on] => 
    [is_status] => 1
    [journalname] => EPRA International Journal of Research & Development (IJRD)
    [short_code] => IJSR
    [eissn] =>  2455-7838 (Online)
    [pissn] => - -
    [home_page_wrapper] => images/products_image/2-n.png
)
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