Discovering topics and trends in the field of Artificial Intelligence: Using LDA topic modeling
Artificial Intelligence (AI) has affected all aspects of social life in recent years. This study
reviews 177,204 documents published in 25 journals and 16 conferences in the AI research …
reviews 177,204 documents published in 25 journals and 16 conferences in the AI research …
A comprehensive overview of recommender system and sentiment analysis
SM Al-Ghuribi, SAM Noah - arXiv preprint arXiv:2109.08794, 2021 - arxiv.org
Recommender system has been proven to be significantly crucial in many fields and is
widely used by various domains. Most of the conventional recommender systems rely on the …
widely used by various domains. Most of the conventional recommender systems rely on the …
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 …
End-to-end LDA-based automatic weak signal detection in web news
An extremely competitive business environment requires every company to monitor its
competitors and anticipate future opportunities and risks, creating a dire need for competitive …
competitors and anticipate future opportunities and risks, creating a dire need for competitive …
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 …
Online commodity recommendation model for interaction between user ratings and intensity-weighted hierarchical sentiment: A case study of LYCOM
C Zhang, N Zhang, W Su, T Balezentis - Omega, 2024 - Elsevier
The online commodity recommendation (OCR) model mines users' historical behavior
characteristics and recommends products that may be of interest according to user …
characteristics and recommends products that may be of interest according to user …
Aspect-based sentiment analysis of Twitter influencers to predict the trend of cryptocurrencies based on hybrid deep transfer learning models
K Jahanbin, MAZ Chahooki - IEEE Access, 2023 - ieeexplore.ieee.org
With the expansion of social networks, sentiment analysis has become one of the hot topics
in machine learning. However, in traditional sentiment analysis, the text is considered of a …
in machine learning. However, in traditional sentiment analysis, the text is considered of a …
Comparing COVID-19 vaccine passports attitudes across countries by analysing Reddit comments
MME Yurtsever, M Shiraz, E Ekinci… - Journal of Information …, 2023 - journals.sagepub.com
Topic mining and sentiment polarity analysis together can adequately represent the topics
and attitudes of users. The goal of this article is to use Reddit's location-based subreddits to …
and attitudes of users. The goal of this article is to use Reddit's location-based subreddits to …
Extracting and ranking product features in consumer reviews based on evidence theory
Online consumer product reviews have been the primary source for manufacturers and
consumers to obtain consumer knowledge and product information. However, the explosion …
consumers to obtain consumer knowledge and product information. However, the explosion …
Multi-aspect oriented sentiment classification: prior knowledge topic modelling and ensemble learning classifier approach
N AlGhamdi, S Khatoon, M Alshamari - Applied Sciences, 2022 - mdpi.com
User-generated content on numerous sites is indicative of users' sentiment towards many
issues, from daily food intake to using new products. Amid the active usage of social …
issues, from daily food intake to using new products. Amid the active usage of social …