… In Section 2, we define the complementary aspect-based opinion mining problem. In
Sections 3.1 and 4, we propose the CAMEL model and give the inference method. The non…

… consistent or diversed opinions? To answer these questions, we first need an aspect-based
opinion mining model for capturing public concerns and opinions simultaneously from text …

… Aspect-based sentiment analysis (ABSA) is an important task in natural language processing
(NLP). It aims to detect the sentiment polarity of a given aspect term in an input sentence. …

… Therefore aspect based opinion mining is favored in this occupation. This paper mainly
focuses on the aspect based opinion mining. The center works in aspect based opinion mining is …

… Disadvantages of existing works are cannot precisely detect the opinion relations among …
a novel Complementary Aspect based Opinion Targets with Opinion Words Co-Extraction …

… Aspect-based opinion mining, which aims to extract aspects and their corresponding ratings
… In this paper, we present a set of design guidelines for aspect-based opinion mining by …

… extraction of the relevant and debated opinions from online social media and commercial
websites is an emerging task in the opinion mining … SMACk, our opinion summary system built …

… Understanding user opinion about different aspects … aspect-based sentiment analysis
consists of three phases: aspect category detection, Opinion Target Extraction (OTE) and sentiment …

… We propose CAMEL, a novel theme model for complementary aspect-based opinion mining
across asymmetric collections CAMEL picks up data complementarity by demonstrating …

… This has bred a new line of data mining research on aspect-based opinion summary (AOS)
[… One complete round of cross-validation involves partitioning the dataset into complementary …