A survey of location prediction on twitter

X Zheng, J Han, A Sun - IEEE Transactions on Knowledge and …, 2018 - ieeexplore.ieee.org
Locations, eg, countries, states, cities, and point-of-interests, are central to news, emergency
events, and people's daily lives. Automatic identification of locations associated with or …

A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks

D Antonakaki, P Fragopoulou, S Ioannidis - Expert systems with …, 2021 - Elsevier
Twitter is the third most popular worldwide Online Social Network (OSN) after Facebook and
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …

Adaptive co-attention network for named entity recognition in tweets

Q Zhang, J Fu, X Liu, X Huang - Proceedings of the AAAI conference on …, 2018 - ojs.aaai.org
In this study, we investigate the problem of named entity recognition for tweets. Named entity
recognition is an important task in natural language processing and has been carefully …

Improving multimodal named entity recognition via entity span detection with unified multimodal transformer

J Yu, J Jiang, L Yang, R Xia - 2020 - ink.library.smu.edu.sg
In this paper, we study Multimodal Named Entity Recognition (MNER) for social media posts.
Existing approaches for MNER mainly suffer from two drawbacks:(1) despite generating …

AIDR: Artificial intelligence for disaster response

M Imran, C Castillo, J Lucas, P Meier… - Proceedings of the 23rd …, 2014 - dl.acm.org
We present AIDR (Artificial Intelligence for Disaster Response), a platform designed to
perform automatic classification of crisis-related microblog communications. AIDR enables …

Enhancing transport data collection through social media sources: methods, challenges and opportunities for textual data

SM Grant‐Muller, A Gal‐Tzur, E Minkov… - IET Intelligent …, 2015 - Wiley Online Library
Social media data now enriches and supplements information flow in various sectors of
society. The question addressed here is whether social media can act as a credible …

Semantic NLP-based information extraction from construction regulatory documents for automated compliance checking

J Zhang, NM El-Gohary - Journal of Computing in Civil Engineering, 2016 - ascelibrary.org
Automated regulatory compliance checking requires automated extraction of requirements
from regulatory textual documents and their formalization in a computer-processable rule …

[图书][B] Natural language processing for social media

A Farzindar, D Inkpen, G Hirst - 2015 - Springer
In recent years, online social networking has revolutionized interpersonal communication.
The newer research on language analysis in social media has been increasingly focusing …

[PDF][PDF] Recognizing named entities in tweets

X Liu, S Zhang, F Wei, M Zhou - … of the 49th annual meeting of the …, 2011 - aclanthology.org
Abstract The challenges of Named Entities Recognition (NER) for tweets lie in the
insufficient information in a tweet and the unavailability of training data. We propose to …

A multi-task approach for named entity recognition in social media data

G Aguilar, S Maharjan, AP López-Monroy… - arXiv preprint arXiv …, 2019 - arxiv.org
Named Entity Recognition for social media data is challenging because of its inherent
noisiness. In addition to improper grammatical structures, it contains spelling inconsistencies …