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Sarcasm identification on Twitter: A machine learning approach
(Springer Verlag, 2017)
In recent years, the remarkable growth in social media and microblogging platforms provide an essential source of information to identify subjective information of people, such as opinions, sentiments and attitudes. Sentiment ...
A machine learning based approach to identify geo-location of Twitter users
(Association for Computing Machinery, 2017)
Twitter, a popular microblogging platform, has attracted great attention. Twitter enables people from all over the world to interact in an extremely personal way. The immense quantity of user-generated text messages become ...
Hybrid supervised clustering based ensemble scheme for text classification
(Emerald Group Publishing Ltd., 2017)
Purpose: The immense quantity of available unstructured text documents serve as one of the largest source of information. Text classification can be an essential task for many purposes in information retrieval, such as ...
A K-medoids based clustering scheme with an application to document clustering
(Institute of Electrical and Electronics Engineers Inc., 2017)
Clustering is an important unsupervised data analysis technique, which divides data objects into clusters based on similarity. Clustering has been studied and applied in many different fields, including pattern recognition, ...