[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 …
[HTML][HTML] Recommender systems based on collaborative filtering using review texts—a survey
In e-commerce websites and related micro-blogs, users supply online reviews expressing
their preferences regarding various items. Such reviews are typically in the textual …
their preferences regarding various items. Such reviews are typically in the textual …
Sentiment interaction and multi-graph perception with graph convolutional networks for aspect-based sentiment analysis
Q Lu, X Sun, R Sutcliffe, Y Xing, H Zhang - Knowledge-Based Systems, 2022 - Elsevier
Graph convolutional networks have been successfully applied to aspect-based sentiment
analysis, due to their ability to flexibly capture syntactic information and word dependencies …
analysis, due to their ability to flexibly capture syntactic information and word dependencies …
What we learn is what we earn from sustainable and circular construction
Sustainable and circular construction entails emissions and wastes reduction through the
reuse and recycling of materials to achieve economic gains and save resources for future …
reuse and recycling of materials to achieve economic gains and save resources for future …
Survey on aspect detection for aspect-based sentiment analysis
MM Truşcǎ, F Frasincar - Artificial Intelligence Review, 2023 - Springer
Sentiment analysis is an important tool to automatically understand the user-generated
content on the Web. The most fine-grained sentiment analysis is concerned with the …
content on the Web. The most fine-grained sentiment analysis is concerned with the …
Optimal trained long short-term memory for opinion mining: a hybrid semantic knowledgebase approach
This study describes a hybrid semantic knowledgebase-machine learning strategy for
mining domain feature-level opinions and categorizing them on a multi-point scale. A …
mining domain feature-level opinions and categorizing them on a multi-point scale. A …
Explicit aspects extraction in sentiment analysis using optimal rules combination
Aspect extraction represents a core task of aspect-based sentiment analysis. This study
presents a supervised aspect extraction algorithm for explicit aspect extraction from formal …
presents a supervised aspect extraction algorithm for explicit aspect extraction from formal …
Mining and classifying customer reviews: a survey
With the increasing number of customer reviews on the Web, there is a growing need for
effective methods to retrieve valuable information hidden in these reviews, as sellers need to …
effective methods to retrieve valuable information hidden in these reviews, as sellers need to …
A fine-grained social network recommender system
M Aivazoglou, AO Roussos, D Margaris… - Social Network Analysis …, 2020 - Springer
Recommender systems have greatly evolved in recent years and have become an integral
part of the Web. From e-commerce sites to mobile apps, our daily routine revolves around a …
part of the Web. From e-commerce sites to mobile apps, our daily routine revolves around a …
Unsupervised semantic approach of aspect-based sentiment analysis for large-scale user reviews
Aspect-based sentiment analysis (ABSA) has recently attracted increasing attention due to
its extensive applications. Most of the existing ABSA methods been applied on small-sized …
its extensive applications. Most of the existing ABSA methods been applied on small-sized …