[PDF][PDF] Research methods in machine learning: A content analysis
Research methods in machine learning play a pivotal role since the accuracy and reliability
of the results are influenced by the research methods used. The main aims of this paper …
of the results are influenced by the research methods used. The main aims of this paper …
We know you are living in bali: Location prediction of twitter users using bert language model
Twitter user location data provide essential information that can be used for various
purposes. However, user location is not easy to identify because many profiles omit this …
purposes. However, user location is not easy to identify because many profiles omit this …
A systematic literature review of machine learning to predict location in social media
BP Utomo, MN Rizal - 2022 6th International Conference on …, 2022 - ieeexplore.ieee.org
Predicting the location is a critical issue for conducting any analyses. Location analysis is
one of analysis which processes Geographic Information (GI). Example in social media …
one of analysis which processes Geographic Information (GI). Example in social media …
[HTML][HTML] Capturing information needs in disaster situations by using temporal and spatial offset learning (TSOL)
K Tsubouchi, S Yamaguchi - Progress in Disaster Science, 2025 - Elsevier
This paper presents a framework for identifying the offline information needs of persons in
disaster situations by analyzing online behavioral logs and utilizing the users' location and …
disaster situations by analyzing online behavioral logs and utilizing the users' location and …
Online Social Network User Home Location Inference Based on Heterogeneous Networks
G Fei, Y Liu, G Hu, S Wen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Inferring the home locations of online social network (OSN) users from their corresponding
account data is an important process for many applications, such as personal privacy …
account data is an important process for many applications, such as personal privacy …
Gazetteer based unsupervised learning approach for location extraction from complaint tweets
P Yenkar, SD Sawarkar - IOP Conference Series: Materials …, 2021 - iopscience.iop.org
In the era of smart city, social media platform like twitter has become the most powerful
medium for sharing urban issues. Extracting the locations from the complaint tweets is very …
medium for sharing urban issues. Extracting the locations from the complaint tweets is very …
How's Life in the Village?: Economic Resilience and Reaction During Pandemic Lockdowns
Although pandemics have been a recurring problem in history, the COVID-19 pandemic has
some characteristics never experienced before. The human being has survived wars, nature …
some characteristics never experienced before. The human being has survived wars, nature …
Low power sensor location prediction using spatial dimension transformation and pattern recognition
W Lee, CS Jeong - Energies, 2022 - mdpi.com
A method of positioning a location on a specific object using a wireless sensor has been
developed for a long time. However, due to the error of wavelengths and various …
developed for a long time. However, due to the error of wavelengths and various …
Twitter Location Prediction usnig Machine Learning Algorithms
Predicting a user's location based on their social media profiles is an active area of study
right now. For many years, researchers have tried to figure out how to automatically …
right now. For many years, researchers have tried to figure out how to automatically …
Epidemic zone of COVID-19 from social media using hypergraph with weighting factor (HWF)
S Pradeepa, KR Manjula - The Journal of Supercomputing, 2021 - Springer
Online social network is one of the most prominent media that holds information about
society's epidemic problem. Due to privacy reasons, most of the users will not disclose their …
society's epidemic problem. Due to privacy reasons, most of the users will not disclose their …