Profiling Social Media Users, a Content-Based Data Mining Technique for Twitter Users

Vasanthakumar, G U; Shashikumar, D R; Suresh, L. Padma

doi:10.1109/icait47043.2019.8987304

Cited by 3 publications

(2 citation statements)

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“…In ( 12) results from (11) due to the total probability theorem ( 6) and (7). With the recognized observational data, Bayes' theorem may be used to calculate the posterior probability of a hypothesis.…”

Section: Total Probability Theoremmentioning

confidence: 99%

“…Where as in real life, activities or words that are often done are habits, habits are closely related to words that are verbs. Searching by utilizing available data in the world of social media is growing rapidly, but each method or method used by developers and researchers is different depending on the purpose and each method they do has advantages and disadvantages [7], [8].…”

Section: Introductionmentioning

confidence: 99%

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A new approach to achieve the users’ habitual opportunities on social media

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et al. 2023

IJ-AI

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<span lang="EN-US">The data generated from social media is very large, while the use of data from social media has not been fully utilized to become new knowledge. One of the things that can become new knowledge is user habits on social media. Searching for user habits on Twitter by using user tweets can be done by using modeling, the use of modeling lies when the data has been preprocessed, and the ranking will then be checked in the dictionary, this is where the role of the model is carried out to get a chance that the words that have been ranked will perform check the word in the dictionary. The benefit of the model in general is to get an understanding of the mechanism in the problem so that it can predict events that will arise from a phenomenon which in this case is user habits. So that with the availability of this model, it can be a model in getting opportunities for user habits on Twitter social media.</span>

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Section: Total Probability Theoremmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%