[HTML][HTML] Systematic reviews in sentiment analysis: a tertiary study
A Ligthart, C Catal, B Tekinerdogan - Artificial Intelligence Review, 2021 - Springer
With advanced digitalisation, we can observe a massive increase of user-generated content
on the web that provides opinions of people on different subjects. Sentiment analysis is the …
on the web that provides opinions of people on different subjects. Sentiment analysis is the …
Aspect based sentiment analysis using deep learning approaches: A survey
The wealth of unstructured text on the online web portal has made opinion mining the most
thrust area for researchers, academicians, and businesses to extract information for …
thrust area for researchers, academicians, and businesses to extract information for …
BiERU: Bidirectional emotional recurrent unit for conversational sentiment analysis
Sentiment analysis in conversations has gained increasing attention in recent years for the
growing amount of applications it can serve, eg, sentiment analysis, recommender systems …
growing amount of applications it can serve, eg, sentiment analysis, recommender systems …
Knowledge-guided multi-granularity GCN for ABSA
Aspect-based sentiment analysis aims to determine sentiment polarities toward specific
aspect terms within the same sentence or document. Most recent studies adopted attention …
aspect terms within the same sentence or document. Most recent studies adopted attention …
Tag-assisted multimodal sentiment analysis under uncertain missing modalities
Multimodal sentiment analysis has been studied under the assumption that all modalities
are available. However, such a strong assumption does not always hold in practice, and …
are available. However, such a strong assumption does not always hold in practice, and …
Store, share and transfer: Learning and updating sentiment knowledge for aspect-based sentiment analysis
Y Zheng, X Li, JY Nie - Information Sciences, 2023 - Elsevier
Previous studies have shown that incorporating sentiment knowledge (eg, sentiment scores)
is effective for aspect-based sentiment analysis (ABSA). However, sentiment knowledge is …
is effective for aspect-based sentiment analysis (ABSA). However, sentiment knowledge is …
SA-ASBA: a hybrid model for aspect-based sentiment analysis using synthetic attention in pre-trained language BERT model with extreme gradient boosting
Aspect-based sentiment analysis (ABSA) is a granular-level sentiment analysis task that
aims to detect the sentiment polarities of a specified aspect in the text. This research shows …
aims to detect the sentiment polarities of a specified aspect in the text. This research shows …
Logic tensor network with massive learned knowledge for aspect-based sentiment analysis
Aspect-based sentiment analysis assists service providers to better understand users'
opinions expressed in massive amounts of online posts, because it automatically infers …
opinions expressed in massive amounts of online posts, because it automatically infers …
Unrestricted attention may not be all you need–masked attention mechanism focuses better on relevant parts in aspect-based sentiment analysis
A Feng, X Zhang, X Song - IEEE Access, 2022 - ieeexplore.ieee.org
Aspect-Based Sentiment Analysis (ABSA) is one of the highly challenging tasks in natural
language processing. It extracts fine-grained sentiment information in user-generated …
language processing. It extracts fine-grained sentiment information in user-generated …
Regularizing autoencoders with wavelet transform for sequence anomaly detection
Nowadays, systems or entities are usually monitored by devices, generating large amounts
of time series. Detecting anomalies in them help prevent potential losses, thus arousing …
of time series. Detecting anomalies in them help prevent potential losses, thus arousing …