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Hashtag Recommendation Approach Based on Content and User Characteristics.

, , and . Cybern. Syst., 49 (5-6): 368-383 (2018)

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Social Network-Based Event Recommendation., , and . ICCCI (1), volume 10448 of Lecture Notes in Computer Science, page 182-191. Springer, (2017)A Method for Detecting and Analyzing the Sentiment of Tweets Containing Fuzzy Sentiment Phrases., , , and . INISTA, page 1-6. IEEE, (2019)TwiSNER: Semi-supervised Method for Named Entity Recognition from Text Streams on Twitter., , and . J. Univers. Comput. Sci., 22 (6): 782-801 (2016)Predicting Research Collaboration Trends Based on the Similarity of Publications and Relationship of Scientists., , , and . ACIIDS (1), volume 12033 of Lecture Notes in Computer Science, page 15-24. Springer, (2020)A Framework for Detecting User's Psychological Tendencies on Twitter Based on Tweets Sentiment Analysis., , , and . IEA/AIE, volume 12144 of Lecture Notes in Computer Science, page 357-372. Springer, (2020)Active Learning-Based Approach for Named Entity Recognition on Short Text Streams., , , , and . MISSI, volume 506 of Advances in Intelligent Systems and Computing, page 321-330. Springer, (2016)Automatic Fake News Detection by Exploiting User's Assessments on Social Networks: A Case Study of Twitter., , and . IEA/AIE, volume 12144 of Lecture Notes in Computer Science, page 373-384. Springer, (2020)A Hybrid Method for Named Entity Recognition on Tweet Streams., , , and . ACIIDS (1), volume 10191 of Lecture Notes in Computer Science, page 258-268. (2017)A Consensus-Based Method to Enhance a Recommendation System for Research Collaboration., , , , and . ACIIDS (1), volume 10191 of Lecture Notes in Computer Science, page 170-180. (2017)Hashtag Recommendation Approach Based on Content and User Characteristics., , and . Cybern. Syst., 49 (5-6): 368-383 (2018)