Y An, H Oh, J Lee - Applied Sciences, 2023 - mdpi.com
The feedback shared by consumers on e-commerce platforms holds immense value in marketing, as it offers insights into their opinions and preferences, which are readily …
T Zerrouki - Journal of Open Source Software, 2024 - joss.theoj.org
Stemming is an important task in natural language processing that involves reducing a word to its root form, or stem. In many cases, stemming can significantly improve the accuracy and …
V Tang, M Painho - International Journal of Geographical …, 2023 - Taylor & Francis
The use of social media and location-based networks through GPS-enabled devices provides geospatial data for a plethora of applications in urban studies. However, the extent …
X Tong, I Willcock, Y Sun - IEEE Transactions on Games, 2024 - ieeexplore.ieee.org
Game reviews function as an important customercreated resource for game studies as they allow practitioners and developers to analyse players' opinions. Despite this, there are few …
B Wang, P Deng, Y Zhao, B Qin - The 2023 Conference on Empirical …, 2023 - openreview.net
Cognitive distortions refer to patterns of irrational thinking that can lead to distorted perceptions of reality and mental health problems in individuals. Despite previous attempts …
W Bu, H Shu, F Kang, Q Hu, Y Zhao - Electronics, 2023 - mdpi.com
With the continuous influx of application software onto the application software market, achieving accurate software recommendations for users in the huge software application …
As the amount of textual data in various fields, including software development, continues to grow, there is a pressing demand for efficient and effective extraction and presentation of …
The rapid development of artificial intelligence technology has had a huge impact on the fields of computer vision, natural language processing, and geographic information …
J Turner, M McDonald, H Hu - 2023 IEEE 17th International …, 2023 - ieeexplore.ieee.org
This paper historically analyzes ten years of anglophone Cannabidiol (CBD) tweets using temporal topic modeling and proposes a classification method to detect commercial and non …