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- W2766804922 abstract "Opinion mining of authors opinions on scientific papers in citations is an important feature of scientific publications. Opinion mining aims to determine the defiance of a topic with respect to the overall polarity of a document. The main engine that drives opinion mining is the processing of subjective information. A dataset in the form of sentence-based collection of over 785 citations were collected. After excluding neutral citations, the dataset of 234 opinion citations were analyzed for the presence of positive and negative features. It was observed that majority (91.6%) were found to be positive, the fraction of citations with negative orientation amounted to 8.4% and nearly 6% of the citations contained opinion terms of both positive and negative polarity. Logistic regression applied on training set resulted in 0.98 precision obtained on a classification model; hence the obtained regression model was applied on test set data to reveal positive and negative opinions." @default.
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- W2766804922 date "2017-03-01" @default.
- W2766804922 modified "2023-09-25" @default.
- W2766804922 title "Opinion mining on author's citation characteristics of scientific publications" @default.
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- W2766804922 doi "https://doi.org/10.1109/icbdaci.2017.8070862" @default.
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