Comparative Analysis of K-Means and Fuzzy C-Means Algorithms
*** Abstract: In the arena of software, data mining technology has been considered as useful means for identifying patterns and trends of l...
UTOPIAN: User-Driven Topic Modeling Based on Interactive Nonnegative Matrix Factorization
. Abstract— Topic modeling has been widely used for analyzing text document collections. Recently, there have been significant advancement...
Sentiment analysis based on clustering: a framework in improving accuracy and recognizing neutral opinions
*** Abstract: Clustering-based sentiment analysis is a novel approach for analyzing opinions expressed in reviews, comments or blogs. In co...
Text Documents Clustering using K-Means Algorithm
*** Introduction Clustering can be considered the most important unsupervised learning problem; so, as every other problem of this kind, it ...
Fuzzy Clustering for Semi-supervised Learning – Case Study: Construction of an Emotion Lexicon
*** Abstract We consider the task of semi-supervised classification: extending category labels from a small dataset of labeled examples to a...
Subscribe to:
Posts (Atom)