Results 41 to 50 of about 832,569 (293)
Deep2s: Improving Aspect Extraction in Opinion Mining With Deep Semantic Representation
Syntactical rule based approaches for aspect extraction, which are free from expensive manual annotation, are promising in practice. These approaches extract aspects mainly through the dependency relations in the surface sentence structures.
Xuelian Li +6 more
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Aromatics Extraction. 2. Economic Aspects
Besides the core-equipment design parameters, investment and operational costs of a separation unit are influenced by the down-stream separation apparatuses design. In case of aromatics liquid-phase extraction, down-stream processing is represented by the extraction solvent regeneration carried out in order to obtain pure products, i.e.
Steltenpohl P., Graczova E.
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Scheduling aspects in keyword extraction problem [PDF]
AbstractThe amount of big data collected during human–computer interactions requires natural language processing (NLP) applications to be executed efficiently, especially in parallel computing environments. Scalability and performance are critical in many NLP applications such as search engines or web indexers.
Michal Zimniewicz +2 more
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Implicit and Explicit Aspect Extraction in Financial Microblogs [PDF]
This paper focuses on aspect extraction which is a sub-task of Aspect-based Sen- timent Analysis. The goal is to report an extraction method of financial aspects in microblog messages. Our approach uses a stock-investment taxonomy for the iden- tification of explicit and implicit aspects.
Gaillat, Thomas +5 more
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Unsupervised Semantic Approach of Aspect-Based Sentiment Analysis for Large-Scale User Reviews
Aspect-based sentiment analysis (ABSA) has recently attracted increasing attention due to its extensive applications. Most of the existing ABSA methods been applied on small-sized labeled datasets.
Sumaia Mohammed Al-Ghuribi +2 more
doaj +1 more source
Aspect-Category-Opinion-Sentiment Quadruple Extraction with Implicit Aspects and Opinions [PDF]
Product reviews contain a large number of implicit aspects and implicit opinions. However, most of the existing studies in aspect-based sentiment analysis ignored this problem. In this work, we introduce a new task, named Aspect-Category-Opinion-Sentiment (ACOS) Quadruple Extraction, with the goal to extract all aspect-category-opinion-sentiment ...
Hongjie Cai, Rui Xia, Jianfei Yu
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ASPECT-BASED SENTIMENT ANALYSIS METHODS IN RECENT YEARS
Sentiment Analysis (SA) is the computational treatment of opinions, sentiments and subjectivity of text. Aspect-based Sentiment Analysis (ABSA) is a specific SA that aims to extract most important aspects of an entity and predict the polarity of each ...
Zohreh Madhoushi +2 more
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Adaptive Local Context and Syntactic Feature Modeling for Aspect-Based Sentiment Analysis
Aspect-based sentiment analysis is a fine-grained sentiment analysis task that consists of two types of subtasks: aspect term extraction and aspect sentiment classification. In the aspect term extraction task, current methods suffer from the lack of fine-
Jie Huang, Yunpeng Cui, Shuo Wang
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Lifelong Learning CRF for Supervised Aspect Extraction
This paper makes a focused contribution to supervised aspect extraction. It shows that if the system has performed aspect extraction from many past domains and retained their results as knowledge, Conditional Random Fields (CRF) can leverage this ...
Liu, Bing, Shu, Lei, Xu, Hu
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Refactoring a java code base to aspectJ: an illustrative example [PDF]
This paper describes a refactoring process transforming a Java code base into an AspectJ equivalent. The process illustrates 17 aspect-oriented refactorings covering extraction of implementation elements to aspects, internal reorganization of extracted ...
Fernandes, João M. +1 more
core +1 more source

