Explainable sentiment analysis: a hierarchical transformer-based extractive summarization approach

L Bacco, A Cimino, F Dell'Orletta, M Merone - Electronics, 2021 - mdpi.com
In recent years, the explainable artificial intelligence (XAI) paradigm is gaining wide
research interest. The natural language processing (NLP) community is also approaching …

On the development of an information system for monitoring user opinion and its role for the public

V Karyukin, G Mutanov, Z Mamykova, G Nassimova… - Journal of big Data, 2022 - Springer
Social media services and analytics platforms are rapidly growing. A large number of
various events happen mostly every day, and the role of social media monitoring tools is …

Empowering E-commerce: Leveraging Open AI and Sentiment Analysis for Smarter Recommendations

Y Giri, V Bhagat, AH Ganie - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
Online product reviews are pivotal in shaping consumer purchasing decisions in today's
digital era. Leveraging the wealth of sentiment-rich data available through these reviews …

A Machine Learning-based Automated Approach for Mining Customer Opinion

A Kumar - 2023 4th International Conference on Electronics …, 2023 - ieeexplore.ieee.org
Amazon Reviews allows customers to review the purchased or used products. This type of
user-generated content is incredibly helpful for e-commerce businesses; whether it is from …

SNPERS: A Physical Exercise Recommendation System Integrating Statistical Principles and Natural Language Processing

Y Yang, Y Lin, Z Chen, Y Lei, X Liu, Y Zhang, Y Sun… - Electronics, 2022 - mdpi.com
As chronic diseases such as cardiovascular diseases are prevalent and progressively more
common in young people, more and more college students are paying attention to …

[PDF][PDF] 可解释信息推荐研究综述

李伟卿, 王伟军, 黄炜, 田萌, 张瑞 - 情报学报, 2023 - qbxb.istic.ac.cn
摘要可解释信息推荐能有效提高推荐结果的可靠性, 提升用户信任度和满意度,
是未来研究的重要方向之一. 了解可解释信息推荐的研究进展, 能为可解释推荐研究提供新的 …

Using K-means clustering ensemble to improve the performance in recommender systems

H Zarzour, F Maazouzi, M Al-Zinati… - … on Intelligent Data …, 2022 - ieeexplore.ieee.org
Collaborative filtering methods are often utilized in the industry of recommender systems.
They work by identifying users with similar tastes and recommending items for each active …

Sentiment Analysis and Machine Learning Algorithm Implementation on Flipkart Product Customer Reviews

RN Deborah, SA Rajiv, A Vinora… - 2023 International …, 2023 - ieeexplore.ieee.org
Sentiment analysis is a vital aspect of data mining that aims to prize private information from
textual data. With the adding fashionability of online shopping platforms like Flipkart …

Knowledge Graph Embedding Based Sentiment Analysis of Product Reviews using LSTM and Fuzzy Logic

U Khurshid, I Ihsan - Journal of Computing & Biomedical Informatics, 2023 - jcbi.org
The popularity of online buying has skyrocketed, particularly during and after the COVID-19
era. Product reviews are a huge asset when making decisions about online purchases …

[PDF][PDF] TOPIC MODELING AND SENTIMENT ANALYSIS FOR ENHANCED PERSONALIZATION IN RECOMMENDATION SYSTEMS

R Božić, O Grljević - mcp-ce.org
More than 80% of today's available data are in the form of unstructured data, with text having
the most representation. Texts hold information about customer preferences not visible in …