Analytics of location-based big data for smart cities: Opportunities, challenges, and future directions
The growing ubiquity of location/activity sensing technologies and location-based services
(LBS) has led to a large volume and variety of location-based big data (LocBigData), such …
(LBS) has led to a large volume and variety of location-based big data (LocBigData), such …
[PDF][PDF] Natural language processing for urban research: A systematic review
M Cai - Heliyon, 2021 - cell.com
Natural language processing (NLP) has shown potential as a promising tool to exploit under-
utilized urban data sources. This paper presents a systematic review of urban studies …
utilized urban data sources. This paper presents a systematic review of urban studies …
Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages
Social media messages posted by people during natural disasters often contain important
location descriptions, such as the locations of victims. Recent research has shown that many …
location descriptions, such as the locations of victims. Recent research has shown that many …
Transformer based named entity recognition for place name extraction from unstructured text
Place names embedded in online natural language text present a useful source of
geographic information. Despite this, many methods for the extraction of place names from …
geographic information. Despite this, many methods for the extraction of place names from …
NeuroTPR: A neuro‐net toponym recognition model for extracting locations from social media messages
Social media messages, such as tweets, are frequently used by people during natural
disasters to share real‐time information and to report incidents. Within these messages …
disasters to share real‐time information and to report incidents. Within these messages …
Do landscape amenities impact private housing rental prices? A hierarchical hedonic modeling approach based on semantic and sentimental analysis of online …
Real estate premium associated with landscape amenities is a well-studied topic with a
primary focus on housing prices. Presumably, the willingness-to-pay for landscape …
primary focus on housing prices. Presumably, the willingness-to-pay for landscape …
Geospatial data ontology: the semantic foundation of geospatial data integration and sharing
Effective integration and wide sharing of geospatial data is an important and basic premise
to facilitate the research and applications of geographic information science. However, the …
to facilitate the research and applications of geographic information science. However, the …
Geographic named entity recognition by employing natural language processing and an improved bert model
Toponym recognition, or the challenge of detecting place names that have a similar referent,
is involved in a number of activities connected to geographical information retrieval and …
is involved in a number of activities connected to geographical information retrieval and …
Chinese toponym recognition with variant neural structures from social media messages based on BERT methods
K Ma, YJ Tan, Z **e, Q Qiu, S Chen - Journal of Geographical Systems, 2022 - Springer
Many natural language tasks related to geographic information retrieval (GIR) require
toponym recognition, and identifying Chinese toponyms from social media messages to …
toponym recognition, and identifying Chinese toponyms from social media messages to …
ChineseTR: A weakly supervised toponym recognition architecture based on automatic training data generator and deep neural network
Toponym recognition is used to extract toponyms from natural language texts, which is a
fundamental task of ubiquitous geographic information applications. Existing toponym …
fundamental task of ubiquitous geographic information applications. Existing toponym …