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...
A Classifier Based Approach to Emotion Lexicon Construction
*** Abstract: The present task of developing an emotion lexicon shows the differences from the existing solutions by considering the definit...
Text Data Pre-processing and Dimensionality Reduction Techniques for Document Clustering
*** `Abstract: Text mining refers generally to the process of extracting generally to the process of extracting interesting and non-trivial ...
Lexicon construction: A topic model approach
*** Abstract: Sentiment Analysis has been an interesting task of web content mining these years due to rapid growth of user generating conte...
Positive words carry less information than negative words
*** Abstract: We show that the frequency of word use is not only determined by the word length [1] and the average information content [2], ...
Subscribe to:
Posts (Atom)