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Incorporating Tweet Relationships into Topic Derivation.

, , , , , and . PACLING, volume 593 of Communications in Computer and Information Science, page 177-190. Springer, (2015)

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Matrix Inter-joint Factorization - A New Approach for Topic Derivation in Twitter., , , , and . BigData Congress, page 79-86. IEEE Computer Society, (2015)The Joint Effects of Tweet Content Similarity and Tweet Interactions for Topic Derivation., , , , and . ICDCS, page 2338-2343. IEEE Computer Society, (2017)Deriving Topics in Twitter by Exploiting Tweet Interactions., , , , and . BigData Congress, page 87-94. IEEE Computer Society, (2015)Incorporating Tie Strength in Robust Social Recommendation., , and . BigData Congress, page 63-70. IEEE Computer Society, (2015)Time-Sensitive Topic Derivation in Twitter., , , , , and . WISE (1), volume 9418 of Lecture Notes in Computer Science, page 138-152. Springer, (2015)Incorporating Tweet Relationships into Topic Derivation., , , , , and . PACLING, volume 593 of Communications in Computer and Information Science, page 177-190. Springer, (2015)A Hybrid Feature Selection Method for Predicting User Influence on Twitter., , , , and . WISE (1), volume 9418 of Lecture Notes in Computer Science, page 478-492. Springer, (2015)Analysis Factors of Intention to Use Music as a Service Application: A Case Study of Spotify Application., , , , and . IC3INA, page 187-192. IEEE, (2018)The Impact of Covid-19 Pandemic on Online Delivery Application User., , , and . IC3INA, page 194-199. ACM, (2021)Smart Urban Services: Sustainable Development with the Smart City Concept in The New Jakarta City., , and . IC3INA, page 111-116. ACM, (2021)