ACOM: Arabic Comparative Opinion Mining in Social Media Utilizing Word Embedding, Deep Learning Model & LLM-GPT
Reliance on social networks has become an integral part of modern daily activities. Social
networks are crowded with vast numbers of comments, opinions, and beliefs about different …
networks are crowded with vast numbers of comments, opinions, and beliefs about different …
On analyzing user preference dynamics with temporal social networks
The preferences adopted by individuals are constantly modified as these are driven by new
experiences, natural life evolution and, mainly, influence from friends. Studying these …
experiences, natural life evolution and, mainly, influence from friends. Studying these …
Identifying comparative opinions in Arabic text in social media using machine learning techniques
FR Alharbi, MB Khan - SN Applied Sciences, 2019 - Springer
Social networking sites have become an integral part of everyday life, where people interact,
cooperate and quarrel with each other. Social media also encourages them to express their …
cooperate and quarrel with each other. Social media also encourages them to express their …
Simultaneous opinion lexicon expansion and product feature extraction
MS Wai, SS Aung - … IEEE/ACIS 16th International Conference on …, 2017 - ieeexplore.ieee.org
Extracting opinion words and product features is an important task in many sentiment
analysis applications. Opinion lexicon also plays a very important role because it is very …
analysis applications. Opinion lexicon also plays a very important role because it is very …
On using temporal networks to analyze user preferences dynamics
User preferences are fairly dynamic, since users tend to exploit a wide range of information
and modify their tastes accordingly over time. Existing models and formulations are too …
and modify their tastes accordingly over time. Existing models and formulations are too …
User preference dynamics on evolving social networks: learning, modeling and prediction
FSF Pereira - 2018 - repositorio.ufu.br
Modeling users' preferences and needs is one of the most important personalization tasks in
information retrieval domain. User preferences are fairly dynamic, since users tend to exploit …
information retrieval domain. User preferences are fairly dynamic, since users tend to exploit …