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A K-medoids Based Clustering Scheme with an Application to Document Clustering
(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, ...
Hybrid supervised clustering based ensemble scheme for text classification
(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 ...
Sarcasm Identification on Twitter: A Machine Learning Approach
(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 ...