A survey of location prediction on twitter
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 …
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
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 …
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
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 …
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
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 …
Existing approaches for MNER mainly suffer from two drawbacks:(1) despite generating …
AIDR: Artificial intelligence for disaster response
We present AIDR (Artificial Intelligence for Disaster Response), a platform designed to
perform automatic classification of crisis-related microblog communications. AIDR enables …
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 …
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 …
from regulatory textual documents and their formalization in a computer-processable rule …
[KİTAP][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 …
The newer research on language analysis in social media has been increasingly focusing …
[PDF][PDF] Recognizing named entities in tweets
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 …
insufficient information in a tweet and the unavailability of training data. We propose to …
Twevent: segment-based event detection from tweets
Event detection from tweets is an important task to understand the current events/topics
attracting a large number of common users. However, the unique characteristics of tweets …
attracting a large number of common users. However, the unique characteristics of tweets …