Meliorating usable document density for online event detection

<span>Online event detection (OED) has seen a rise in the research community as it can provide quick identification of possible events happening at times world. Through these systems, potential be indicated well before they are reported by news media, grouping similar documents shared over social media users. Most OED systems use textual similarities for this purpose. Similar documents, that may indicate event, further strengthened replies made other users, thereby improving potentiality group. However, unusable independent replace previously appeared noun phrases with pronouns, leading to fail while their suitable clusters. In paper, pronoun resolution system tries pronouns relevant nouns data is proposed. Results show significant improvement performance using proposed system.</span>