27,818 research outputs found
Good practice guidance for search service providers and advice to the public on how to search safely
Tailored retrieval of health information from the web for facilitating communication and empowerment of elderly people
A patient, nowadays, acquires health information from the Web mainly through a âhuman-to-machineâ
communication process with a generic search engine. This, in turn, affects, positively or negatively, his/her
empowerment level and the âhuman-to-humanâ communication process that occurs between a patient and a
healthcare professional such as a doctor. A generic communication process can be modelled by considering
its syntactic-technical, semantic-meaning, and pragmatic-effectiveness levels and an efficacious
communication occurs when all the communication levels are fully addressed. In the case of retrieval of health
information from the Web, although a generic search engine is able to work at the syntactic-technical level,
the semantic and pragmatic aspects are left to the user and this can be challenging, especially for elderly
people. This work presents a custom search engine, FACILE, that works at the three communication levels
and allows to overcome the challenges confronted during the search process. A patient can specify his/her
information requirements in a simple way and FACILE will retrieve the ârightâ amount of Web content in a
language that he/she can easily understand. This facilitates the comprehension of the found information and
positively affects the empowerment process and communication with healthcare professionals
YouTube AV 50K: An Annotated Corpus for Comments in Autonomous Vehicles
With one billion monthly viewers, and millions of users discussing and
sharing opinions, comments below YouTube videos are rich sources of data for
opinion mining and sentiment analysis. We introduce the YouTube AV 50K dataset,
a freely-available collections of more than 50,000 YouTube comments and
metadata below autonomous vehicle (AV)-related videos. We describe its creation
process, its content and data format, and discuss its possible usages.
Especially, we do a case study of the first self-driving car fatality to
evaluate the dataset, and show how we can use this dataset to better understand
public attitudes toward self-driving cars and public reactions to the accident.
Future developments of the dataset are also discussed.Comment: in Proceedings of the Thirteenth International Joint Symposium on
Artificial Intelligence and Natural Language Processing (iSAI-NLP 2018
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