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[HTML][HTML] Sentiment analysis and opinion mining on educational data: A survey
Sentiment analysis AKA opinion mining is one of the most widely used NLP applications to
identify human intentions from their reviews. In the education sector, opinion mining is used …
identify human intentions from their reviews. In the education sector, opinion mining is used …
A review of recent advances on deep learning methods for audio-visual speech recognition
This article provides a detailed review of recent advances in audio-visual speech
recognition (AVSR) methods that have been developed over the last decade (2013–2023) …
recognition (AVSR) methods that have been developed over the last decade (2013–2023) …
Fake review detection in e-Commerce platforms using aspect-based sentiment analysis
Consumers rely on internet user reviews. Existing sentiment-based detection systems fail to
capture consumer feelings regarding numerous aspects of products or services which …
capture consumer feelings regarding numerous aspects of products or services which …
MBi-GRUMCONV: A novel Multi Bi-GRU and Multi CNN-Based deep learning model for social media sentiment analysis
Today, internet and social media is used by many people, both for communication and for
expressing opinions about various topics in many domains of life. Various artificial …
expressing opinions about various topics in many domains of life. Various artificial …
Climate change sentiment analysis using lexicon, machine learning and hybrid approaches
The emissions of greenhouse gases, such as carbon dioxide, into the biosphere have the
consequence of warming up the planet, hence the existence of climate change. Sentiment …
consequence of warming up the planet, hence the existence of climate change. Sentiment …
From online reviews to smartwatch recommendation: An integrated aspect-based sentiment analysis framework
In the current landscape, smartwatches have gained popularity as wearable devices thanks
to their fitness tracking and health monitoring capabilities. However, the abundance of …
to their fitness tracking and health monitoring capabilities. However, the abundance of …
Improving the performance of sentiment analysis using enhanced preprocessing technique and artificial neural network
With the presence of a massive amount of digitally recorded data, an automated
computation can be preferable over the manual approach to evaluate sentiments within …
computation can be preferable over the manual approach to evaluate sentiments within …
Learning Multitask Commonness and Uniqueness for Multimodal Sarcasm Detection and Sentiment Analysis in Conversation
Sarcasm is a form of figurative language device to express human inner feelings, where the
author writes the positive sentence on surface form, while he/she actually expresses …
author writes the positive sentence on surface form, while he/she actually expresses …
Aspect-based sentiment analysis: A dual-task learning architecture using imbalanced maximized-area under the curve proximate support vector machine and …
Aspect-based sentiment analysis (ABSA) deals with understanding sentiments about
specific attributes. Aspect term extraction (ATE) plays an essential role in aspect sentiment …
specific attributes. Aspect term extraction (ATE) plays an essential role in aspect sentiment …
[PDF][PDF] Natural language processing (NLP) in the extraction of clinical information from electronic health records (EHRs) for cancer prognosis
Abstracts: NLP has become an important tool in healthcare, particularly in extracting clinical
information from EHRs in order to help enhance cancer prognosis. EHRs store vast amounts …
information from EHRs in order to help enhance cancer prognosis. EHRs store vast amounts …