Results 51 to 60 of about 167,833 (278)
SentiTur: Building Linguistic Resources for Aspect-Based Sentiment Analysis in the Tourism Sector [PDF]
, 2018 The use of linguistic resources beyond the scope of language studies, i.e. commercial purposes, has become commonplace since the availability of massive amounts of data and the development of tools to process them. An interesting focus on these materials
Orroquia Barea, Aroa +1 more
core
Deep Memory Networks for Attitude Identification
, 2017 We consider the task of identifying attitudes towards a given set of entities from text. Conventionally, this task is decomposed into two separate subtasks: target detection that identifies whether each entity is mentioned in the text, either explicitly ...
Chang C.-C. +24 more
core +1 more source
IEEE AccessTarget Aspect Sentiment Detection (TASD) is challenging because it involves various Natural Language Processing (NLP) subtasks including opinion target detection and sentiment polarity classification.
Mohammad Radi, Nazlia Omar, Wandeep Kaur
doaj +1 more source
A Unified Model for Opinion Target Extraction and Target Sentiment Prediction
, 2019 Target-based sentiment analysis involves opinion target extraction and target sentiment classification. However, most of the existing works usually studied one of these two sub-tasks alone, which hinders their practical use.
Bing, Lidong +3 more
core +1 more source
Aging and Cancer, EarlyView.This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel +4 more
wiley +1 more source
Aspect-Level Sentiment Analysis Model Combining Double Graph Convolution and Gated Linear Unit [PDF]
Jisuanji gongchengThe aspect-level sentiment analysis aims to determine the sentiment polarity of a given aspect of a sentence. The existing graph neural network-based aspect-level sentiment analysis has two shortcomings: first, it ignores different types of syntactic ...
YANG Chunxia, WU Yalei, YAN Han, HUANG Yukun
doaj +1 more source
Aspect-level sentiment classification with fused local and global context
Journal of Big Data, 2023 Sentiment analysis aims to determine the sentiment orientation of a text piece (sentence or document), but many practical applications require more in-depth analysis, which makes finer-grained sentiment classification the ideal solution.
Ao Feng +3 more
doaj +1 more source
Exploring BERT for Aspect-based Sentiment Analysis in Portuguese Language
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 Aspect-Based Sentiment Analysis (ABSA) is a Natural Language Processing (NLP) task that extracts referred aspects from text and assigns polarities to opinions about those aspects. Most research on ABSA focuses on English.
Émerson Philippe Lopes +5 more
doaj +1 more source
Arthritis Care &Research, EarlyView.Objective Sjögren's disease is an autoimmune disorder that can impact multiple organ systems, including the peripheral nervous system (PNS). PNS manifestations, which can exist concurrently, include mononeuropathies, polyneuropathies, and autonomic nervous system neuropathies.
Anahita Deboo +88 more
wiley +1 more source
Exploiting Document Knowledge for Aspect-level Sentiment Classification [PDF]
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2018 Accepted to ACL 2018 (short paper)
Ruidan He +3 more
openaire +2 more sources