… Abstract: In today’s world most of us depend on Social Media to communicate, express …
Social media data we can classify the type of users by analysis of their posted data on the social …

… 15 types of classification algorithms were included in … social media data for text mining
and traditional text mining techniques are suited to the task of real-time analysis of social media…

… social media settings, we compare the text classification methods on 41 different social media
… Specifically, we have obtained three sample sizes for nine social media types (500; 1000; …

… In the present work we propose a novel text classification model, called SS3, whose goal
is to provide support for incremental classification, early classification and explainability in a …

… in social media texts. In this paper, we proposed a medical social media text classification
(… Classification of text from social media on medical subjects is divided into two sub-tasks: …

… The main challenge is analyzing the social media text. It is the … It is so difficult to do text
classification to group it before … Our experiment, we focus on the Twitter as the social media text …

… on numerous social media platforms. This paper proposes an offensive text classification …
to recognize offensive Bengali texts in various social media platforms. The proposed LSTM-…

… social event detection (Chen et al. 2015). In this study, we examine the capability of CNN in
text classification for … review the deep learning technologies, particularly for text classification. …

… are expressing in this social platform. Text classification is the process of assigning one or
more pre-defined categories to text according to its content. Tweets are short, and the short …

… This case occurs frequently in social media data classification as we discussed above.
Second, it proposes a novel CBS space based learning method, CBS-L, which avoids the co…