Distributed Event Detection For Twitter Using An Event Knowledge Base

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@article{1700574,
      author = {B. Satish Kumar, T. Sudhir},
      title = {Distributed Event Detection For Twitter Using An Event Knowledge Base},
      journal = {Iconic Research And Engineering Journals},
      year = {2018},
      volume = {1},
      number = {10},
      pages = {42-46},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1700574.pdf},
      abstract = {We display two strategies for occasion identification in Twitter utilizing an event knowledge base. The learning base utilized contains world occasions revealed in the media that we recognize as multi-lingual clusters of standard news stories. Given this reality, we decrease the issue of occasion identification to coordinating tweets to standard news stories. The primary technique comprises of utilizing URLs to standard news destinations introduce in tweets and in the information base. We utilize this technique to manufacture a managed corpus of tweets and afterward make and assess a directed classifier as our second strategy. Trial assessment on certifiable information demonstrates that the proposed strategies perform well on our dataset.},
      keywords = {Microblogging, URL Matching, HTML,Support Vector Machine},
      month = {April},
  }