Semi-supervised Aspect Based Sentiment Analysis for Movies Using Review Filtering
نویسندگان
چکیده
منابع مشابه
Semi-supervised Aspect Based Sentiment Analysis for Movies Using Review Filtering
Aspect based Sentiment Analysis (ABSA) is a subarea of opinion mining which enables one to gain deeper insights into the features of items which interest the users by mining reviews. In this paper we attempt to perform ABSA on movie review data. Unlike other domains such as camera, laptops restaurants etc, a major chunk of movie reviews is devoted to describing the plot and contains no informat...
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In this paper, we present our contribution in SemEval2014 ABSA task, some supervised methods for Aspect-Based Sentiment Analysis of restaurant and laptop reviews are proposed, implemented and evaluated. We focus on determining the aspect terms existing in each sentence, finding out their polarities, detecting the categories of the sentence and the polarity of each category. The evaluation resul...
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The shared task on Aspect based Sentiment Analysis primarily focuses on mining relevant information from the thousands of online reviews available for a popular product or service. In this paper we report our works on aspect term extraction and sentiment classification with respect to our participation in the SemEval-2014 shared task. The aspect term extraction method is based on supervised lea...
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We leverage vector space embeddings of sentences and nearest-neighbor methods to transform a small amount of labelled training data into a significantly larger training set using an unlabelled corpus. The quality of the larger training set is measured by prediction accuracy on a benchmark sentiment analysis task. Our results indicate it is possible to achieve accuracy within 3-5% of the baselin...
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ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2016
ISSN: 1877-0509
DOI: 10.1016/j.procs.2016.04.070