Results 51 to 60 of about 6,473,940 (330)
Adaptive Local Context and Syntactic Feature Modeling for Aspect-Based Sentiment Analysis
Applied Sciences, 2023 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
doaj +1 more source
Aspect-Based Sentiment Analysis Using a Two-Step Neural Network Architecture
, 2017 The World Wide Web holds a wealth of information in the form of unstructured texts such as customer reviews for products, events and more. By extracting and analyzing the expressed opinions in customer reviews in a fine-grained way, valuable ...
AP Aprosio +7 more
core +1 more source
Replication issues in syntax-based aspect extraction for opinion mining
, 2017 Reproducing experiments is an important instrument to validate previous work and build upon existing approaches. It has been tackled numerous times in different areas of science.
Marrese-Taylor, Edison, Matsuo, Yutaka
core +1 more source
Hybrid image representation methods for automatic image annotation: a survey [PDF]
, 2012 In most automatic image annotation systems, images are represented with low level features using either global methods or local methods. In global methods, the entire image is used as a unit.
Bechkoum, Kamal +3 more
core +1 more source
Annual Meeting of the Association for Computational Linguistics, 2020 The current aspect extraction methods suffer from boundary errors. In general, these errors lead to a relatively minor difference between the extracted aspects and the ground-truth. However, they hurt the performance severely.
Zhenkai Wei +4 more
semanticscholar +1 more source
Aspect term extraction via information-augmented neural network
Complex & Intelligent Systems, 2022 Aspect term extraction (ATE) aims at identifying the aspect terms that are expressed in a sentence. Recently, Seq2Seq learning has been employed in ATE and significantly improved performance.
Ning Liu, Bo Shen
doaj +1 more source
Unsupervised Extraction of Representative Concepts from Scientific Literature
, 2017 This paper studies the automated categorization and extraction of scientific concepts from titles of scientific articles, in order to gain a deeper understanding of their key contributions and facilitate the construction of a generic academic ...
Han, Jiawei +3 more
core +1 more source
Simple Unsupervised Similarity-Based Aspect Extraction [PDF]
Conference on Intelligent Text Processing and Computational Linguistics, 2020 In the context of sentiment analysis, there has been growing interest in performing a finer granularity analysis focusing on the specific aspects of the entities being evaluated.
Danny Suarez Vargas +2 more
semanticscholar +1 more source
A Multi-Aspect Informed GRU: A Hybrid Model of Flight Fare Forecasting with Sentiment Analysis
Applied SciencesThis paper presents an advanced method for forecasting flight fares that combines aspect-based sentiment analysis (ABSA) with deep learning techniques, particularly the gated recurrent unit (GRU) model.
Worku Abebe Degife, Bor-Shen Lin
doaj +1 more source
An illustrative example of refactoring object-oriented source code with aspect-oriented mechanisms [PDF]
, 2008 This paper describes a refactoring process that transforms a Java source code base into a functionally equivalent AspectJ source code base. The process illustrates the use of a collection of refactorings for aspect-oriented source code, covering the ...
Fernandes, João M. +1 more
core +1 more source