In this study, we present a model to effectively extract the features and strength of sentiment from words and text using a context-dependent, lexicon-based ...
In this study, we present a model to effectively extract the features and strength of sentiment from words and text using a context-dependent, lexicon-based ...
Feb 10, 2020 · In this study, we present a model to effectively extract the features and strength of sentiment from words and text using a context-dependent, ...
TL;DR: Experimental results indicate that the proposed model can predict the sentiment strength of documents more effectively than the baseline methods, ...
Online reviews are relatively free of jargon, and lexicon-based sentiment analysis has an impressive accuracy rate in detecting the overall sentiment of online ...
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Dec 1, 2022 · With the recent advancements in deep neural networks, various deep learning models have been heavily used to enhance the accuracy of SA.
Sentiment analysis system using conventional neural network in ...
pubs.aip.org › aip › acp › article
Jul 17, 2023 · 3. Huang. ,. M. , et al,. Sentiment strength detection with a context-dependent lexicon-based convolutional neural network. Information Sciences.
A new deep convolutional neural network is proposed that exploits from characterto sentence-level information to perform sentiment analysis of short texts ...
Jan 8, 2024 · It assigns sentiment labels to text depending on the presence and context of certain terms. On the other hand, deep learning-based techniques ...
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This paper first gives an overview of deep learning and then provides a comprehensive survey of the sentiment analysis research based on deep learning. NEURAL ...