Results 31 to 40 of about 317,663 (308)
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
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A Summary of Aspect-based Sentiment Analysis
Journal of Physics: Conference Series, 2020 AbstractAspect-based sentiment analysis is a subclass of sentiment analysis tasks, focusing on judging the sentiment tendency of entities or attributes, and has received extensive attention due to fine-grained analysis results. The current research mostly summarizes the research from a single point of aspect extraction or sentiment classification, and ...
Ying Zhan +3 more
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Semi-Supervised Model for Aspect Sentiment Detection
Information, 2023 Advancements in text representation have produced many deep language models (LMs), such as Word2Vec and recurrent-based LMs. However, there are scarce works that focus on detecting implicit sentiments with a small amount of labelled data because there ...
Zohreh Madhoushi +2 more
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Aspect Based Opinion Mining & Sentiment Analysis [PDF]
, 2022 Opinion mining is a relatively new field that refers to the practice of collecting feedback in the form of online reviews and ratings left by users on various topics.
Londhe, Alka, Rao, P. V. R. D. Prasada
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Interventional Aspect-Based Sentiment Analysis
, 2021 Recent neural-based aspect-based sentiment analysis approaches, though achieving promising improvement on benchmark datasets, have reported suffering from poor robustness when encountering confounder such as non-target aspects. In this paper, we take a causal view to addressing this issue.
Bi, Zhen +5 more
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Applied Sciences, 2023 Most of the aspect-based sentiment analysis research completes the two subtasks (aspect terms extraction and aspect sentiment classification) separately, and it cannot see the full picture and actual effect of the complete aspect-based sentiment analysis.
Musheng Chen +3 more
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Aspect-based Sentiment Analysis Based on Dual-channel Graph Convolutional Network with Sentiment Knowledge [PDF]
Jisuanji kexue, 2023 Aspect-based sentiment analysis is a fine-grained sentiment analysis task whose goal is to classify the sentiment polarity of the given aspect terms in a sentence.Most of the current sentiment classification models build a graph neural network on the ...
YANG Ying, ZHANG Fan, LI Tianrui
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Embedding refinement framework for targeted aspect-based sentiment analysis [PDF]
, 2021 The state-of-the-art approaches to Targeted Aspect-Based Sentiment Analysis (TABSA) are mostly deep learning models based on attention mechanisms. One problem in most previous studies is that embeddings of targets and aspects are either pre-trained from ...
Du, Jiachen +6 more
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Deep learning-based application for multilevel sentiment analysis of Indonesian hotel reviews
Heliyon, 2023 Purpose: In this study, we present a web-based application that retrieves hotel review documents in Indonesian languages from an online travel agent (OTA) and analyses their sentiments from the coarse-grained document to the fine-grained aspect level ...
Retno Kusumaningrum +4 more
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Aspect Based Sentiment Analysis - Twitter
, 2022 <p>Due to the increased use and popularity of social media platforms in the most recent technological period, sentiment categorization has emerged as an important research area among those platforms. When it comes to Twitter, the main problem of previous research is, they all did a sentiment classification on the document level (Tweet level).
Jinan Fiaidhi +2 more
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