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To date, analyzing the sentiment of user-generated reviews is an important way to get timely feedbacks from customers. In order to solve the task, many semantics methods and machine learning algorithms are applied. However, most of them are based on word-level features. Segmenting a sentence into words is a much harder process in tonal languages, like Chinese and Thai, than the others, like English...
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 of the sentences, with the analysis of syntactic...
This paper introduces a new definition of intuitionistic fuzzy (IF for short) inclusion measure. Five kinds of IF inclusion measure are constructed by means of different operators especially by IF implicator. It is shown that the similarity measure between two IF sets obtained from IF inclusion measure hold properties of normal similarity measure.
In this paper, a new kind of entropy and a similarity measure of intuitionistic fuzzy sets are proposed, and the relationships between the entropy and similarity measure are examined in detail. It is proved that similarity measure and entropy of intuitionistic fuzzy sets can be transformed by each other based on their axiomatic definitions.
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