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Sentiment classification has adopted machine learning techniques to improve its precision and efficiency. However, the features are always produced by basic words-bag methods without much consideration for words' syntactic properties, which could play an important role in the judgment of sentiment meanings. To remedy this, we firstly generate syntax trees(More)
  • Bing Liu
  • 2016
Machine learning (ML) has been instrumental for the advances of both data analysis and artificial intelligence (AI). The recent success of deep learning brings it to a new height. ML algorithms have been successfully used in almost all areas of applications in industry, science, and engineering. The current dominant paradigm for ML is to run an ML algorithm(More)
Recently, semi-supervised spectral clustering algorithms have been developing rapidly, which are proposed to improve the clustering performance. In this paper, we first review the current existing spectral clustering algorithms in an unified-framework and give a straightforward explanation about the spectral clustering algorithm. Then, we present a(More)
All pairs similarity search (APSS) is the problem of finding all the similar pairs of items, whose similarity is above a given threshold. APSS algorithm is applied to many data mining fields, such as document matching, collaborative filtering. Due to a large scale of data in real life, some recent work used partitioning, inverted indexing, parallel(More)
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