Location reference recognition from texts: A survey and comparison
A vast amount of location information exists in unstructured texts, such as social media
posts, news stories, scientific articles, web pages, travel blogs, and historical archives …
posts, news stories, scientific articles, web pages, travel blogs, and historical archives …
Crisis informatics in the context of social media crisis communication: Theoretical models, taxonomy, and open issues
The involvement application and use of crisis and emergency management and
communication are increasing rapidly. This study conducts a systematic literature review to …
communication are increasing rapidly. This study conducts a systematic literature review to …
A framework for hate speech detection using deep convolutional neural network
The rapid growth of Internet users led to unwanted cyber issues, including cyberbullying,
hate speech, and many more. This article deals with the problems of hate speech on Twitter …
hate speech, and many more. This article deals with the problems of hate speech on Twitter …
Deep learning to filter SMS Spam
The popularity of short message service (SMS) has been growing over the last decade. For
businesses, these text messages are more effective than even emails. This is because while …
businesses, these text messages are more effective than even emails. This is because while …
A deep multi-modal neural network for informative Twitter content classification during emergencies
People start posting tweets containing texts, images, and videos as soon as a disaster hits
an area. The analysis of these disaster-related tweet texts, images, and videos can help …
an area. The analysis of these disaster-related tweet texts, images, and videos can help …
[HTML][HTML] Identification and classification of transportation disaster tweets using improved bidirectional encoder representations from transformers
Social Media today has become the most relevant and affordable platform to express one's
views in real-time. The# Endsars protest in Nigeria and the COVID-19 pandemic have …
views in real-time. The# Endsars protest in Nigeria and the COVID-19 pandemic have …
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 …
GazPNE2: A general place name extractor for microblogs fusing gazetteers and pretrained transformer models
The concept of “human as sensors” defines a new sensing model, in which humans act as
sensors by contributing their observations, perceptions, and sensations. This is crucial for …
sensors by contributing their observations, perceptions, and sensations. This is crucial for …
Mining public sentiments and perspectives from geotagged social media data for appraising the post-earthquake recovery of tourism destinations
Post-disaster recovery involves interdependent processes of physical and psychological
rehabilitations. Over the past few years, researchers have explored geotagged social media …
rehabilitations. Over the past few years, researchers have explored geotagged social media …
[HTML][HTML] Trends in bushfire related tweets during the Australian 'Black Summer'of 2019/20
Social media is widely used in emergencies, but the nature of the communication is poorly
understood. We employed unsupervised topic modelling and sentiment analysis to analyse …
understood. We employed unsupervised topic modelling and sentiment analysis to analyse …