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TwiSNER: Semi-supervised Method for Named Entity Recognition from Text Streams on Twitter.

, , and . J. Univers. Comput. Sci., 22 (6): 782-801 (2016)

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Research collaboration model in academic social networks., , , and . Enterp. Inf. Syst., 13 (7-8): 1023-1045 (2019)An approach for a decision-making support system based on measuring the user satisfaction level on Twitter., , , and . Inf. Sci., (2021)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)Social Networks as Platforms for Enhancing Collective Intelligence., , , and . Cybern. Syst., 53 (5): 425-442 (2022)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)A sentiment analysis method of objects by integrating sentiments from tweets., , , and . J. Intell. Fuzzy Syst., 37 (6): 7251-7263 (2019)