Matches in SemOpenAlex for { <https://semopenalex.org/work/W2783165946> ?p ?o ?g. }
Showing items 1 to 75 of
75
with 100 items per page.
- W2783165946 endingPage "01" @default.
- W2783165946 startingPage "01" @default.
- W2783165946 abstract "In the recent past, twitter users are highly regarded as social sensors who can report events and Twitter has been widely used to detect social and physical events such as earthquakes and traffic jam . Real time event detection in Twitter is the process of detecting events at real time from live tweet stream as soon as an event has happened. Real time event detection from sports tweets, such as Cricket is an interesting, yet a complex problem. Because, an event detection system needs to collect live sports tweets and should rapidly detect key events such as boundary and catch at real-time when the game is ongoing. In this paper, a novel framework is proposed for detecting key events at real time from live tweets of the Cricket sports domain. Feature vectors of live tweets are created using TF-IDF representation and tweet clusters are discovered using Locality Sensitive Hashing (LSH) where the post rate of each cluster based on the volume of tweets is computed. If the post rate is above the predefined threshold, then a key event recognized from that cluster using our domain specific event lexicon for Cricket sports. The predefined threshold helps to filter out small spikes in the tweets volume. The proposed real-time event detection algorithm is extensively evaluated on 2017 IPL T20 Cricket live tweets using ROC evaluation measure. The experimental results on the performance of the proposed approach show that the LSH approach detects sports events with nearly 90% true positive rate and around 10% false positive rate. The results have also demonstrated the influence of different parameters on the accuracy of the event detection." @default.
- W2783165946 created "2018-01-26" @default.
- W2783165946 creator A5009064297 @default.
- W2783165946 creator A5010237277 @default.
- W2783165946 creator A5056243992 @default.
- W2783165946 date "2018-01-07" @default.
- W2783165946 modified "2023-09-27" @default.
- W2783165946 title "SportsBuzzer: Detecting Events at Real Time in Twitter using Incremental Clustering" @default.
- W2783165946 doi "https://doi.org/10.14738/tmlai.61.3861" @default.
- W2783165946 hasPublicationYear "2018" @default.
- W2783165946 type Work @default.
- W2783165946 sameAs 2783165946 @default.
- W2783165946 citedByCount "1" @default.
- W2783165946 countsByYear W27831659462019 @default.
- W2783165946 crossrefType "journal-article" @default.
- W2783165946 hasAuthorship W2783165946A5009064297 @default.
- W2783165946 hasAuthorship W2783165946A5010237277 @default.
- W2783165946 hasAuthorship W2783165946A5056243992 @default.
- W2783165946 hasConcept C121332964 @default.
- W2783165946 hasConcept C136764020 @default.
- W2783165946 hasConcept C154945302 @default.
- W2783165946 hasConcept C18903297 @default.
- W2783165946 hasConcept C26517878 @default.
- W2783165946 hasConcept C2779662365 @default.
- W2783165946 hasConcept C2781313515 @default.
- W2783165946 hasConcept C38652104 @default.
- W2783165946 hasConcept C41008148 @default.
- W2783165946 hasConcept C518677369 @default.
- W2783165946 hasConcept C62520636 @default.
- W2783165946 hasConcept C73555534 @default.
- W2783165946 hasConcept C86803240 @default.
- W2783165946 hasConceptScore W2783165946C121332964 @default.
- W2783165946 hasConceptScore W2783165946C136764020 @default.
- W2783165946 hasConceptScore W2783165946C154945302 @default.
- W2783165946 hasConceptScore W2783165946C18903297 @default.
- W2783165946 hasConceptScore W2783165946C26517878 @default.
- W2783165946 hasConceptScore W2783165946C2779662365 @default.
- W2783165946 hasConceptScore W2783165946C2781313515 @default.
- W2783165946 hasConceptScore W2783165946C38652104 @default.
- W2783165946 hasConceptScore W2783165946C41008148 @default.
- W2783165946 hasConceptScore W2783165946C518677369 @default.
- W2783165946 hasConceptScore W2783165946C62520636 @default.
- W2783165946 hasConceptScore W2783165946C73555534 @default.
- W2783165946 hasConceptScore W2783165946C86803240 @default.
- W2783165946 hasIssue "1" @default.
- W2783165946 hasLocation W27831659461 @default.
- W2783165946 hasOpenAccess W2783165946 @default.
- W2783165946 hasPrimaryLocation W27831659461 @default.
- W2783165946 hasRelatedWork W1041597453 @default.
- W2783165946 hasRelatedWork W11244355 @default.
- W2783165946 hasRelatedWork W1780541288 @default.
- W2783165946 hasRelatedWork W2015587001 @default.
- W2783165946 hasRelatedWork W2339362998 @default.
- W2783165946 hasRelatedWork W2480838301 @default.
- W2783165946 hasRelatedWork W2548007351 @default.
- W2783165946 hasRelatedWork W2551869738 @default.
- W2783165946 hasRelatedWork W2604275792 @default.
- W2783165946 hasRelatedWork W2767258218 @default.
- W2783165946 hasRelatedWork W2896113511 @default.
- W2783165946 hasRelatedWork W2903297917 @default.
- W2783165946 hasRelatedWork W2932321119 @default.
- W2783165946 hasRelatedWork W2954327806 @default.
- W2783165946 hasRelatedWork W3037160571 @default.
- W2783165946 hasRelatedWork W3124119769 @default.
- W2783165946 hasRelatedWork W3130087813 @default.
- W2783165946 hasRelatedWork W3203906102 @default.
- W2783165946 hasRelatedWork W85157849 @default.
- W2783165946 hasRelatedWork W2926461645 @default.
- W2783165946 hasVolume "6" @default.
- W2783165946 isParatext "false" @default.
- W2783165946 isRetracted "false" @default.
- W2783165946 magId "2783165946" @default.
- W2783165946 workType "article" @default.