LISA: Language-Independent Method for Aspect-Based Sentiment Analysis
نویسندگان
چکیده
منابع مشابه
Aspect Based Sentiment Analysis
Sentiment analysis aims to determine the evaluation of an author with respect to a particular topic and detecting the overall contextual polarity of a document. Sentiment analysis is increasingly viewed as a vital task both from an academic and a commercial standpoint. The majority of current approaches, however, attempt to detect the overall polarity of a sentence, paragraph, or text span, irr...
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This paper fills a gap in aspect-based sentiment analysis and aims to present a new method for preparing and analysing texts concerning opinion and generating user-friendly descriptive reports in natural language. We present a comprehensive set of techniques derived from Rhetorical Structure Theory and sentiment analysis to extract aspects from textual opinions and then build an abstractive sum...
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Millions of tweets posted daily contain opinions and sentiment of users in a variety of languages. Sentiment classification can benefit companies by providing data for analyzing customer feedback for products or conducting market research. Sentiment classifiers need to be able to handle tweets in multiple languages to cover a larger portion of the available tweets. Traditional classifiers are h...
متن کاملAspect Based Sentiment Analysis Survey
Sentiment analysis or Opinion mining is becoming an important task both from academics and commercial standpoint. In recent years text mining has become most promising area for research. There is an exponential growth with respect to World Wide Web, Mobile Technologies, Internet usage and business on electronic commerce applications. Because of which web opinion sources like online shopping por...
متن کاملSupervised Methods for Aspect-Based Sentiment Analysis
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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ژورنال
عنوان ژورنال: IEEE Access
سال: 2020
ISSN: 2169-3536
DOI: 10.1109/access.2020.2973587