Must Children be Vaccinated or not? Annotating Modal Verbs in the Vaccination Debate
In this paper we analyze the use of modal verbs in a corpus of texts related to the vaccination debate. Broadly speaking, the vaccination debate centers around whether vaccination is safe, and whether it is morally acceptable to enforce mandatory vaccination. In order to successfully intervene and curb the spread of preventable diseases due to low vaccination rates, health practitioners need to be adequately informed on public perception of the safety and necessity of vaccines. Public perception can relate to the strength of conviction that an individual may have towards a proposition (e.g. {}one must vaccinate{'} versus {}one should vaccinate{'}), as well as qualify the type of proposition, be it related to morality ({}government should not interfere in my personal choice{'}) or related to possibility ({}too many vaccines at once could hurt my child{'}). Text mining and analysis of modal auxiliaries are economically viable means of gaining insights into these perspectives, particularly on a large scale due to the widespread use of social media and blogs as vehicles of communication.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Yes we can!? Annotating English modal verbs
This paper presents an annotation scheme for English modal verbs together with sense-annotated data from the news domain. We describe our annotation scheme and discuss problematic cases for modality annotation based on t…
Sentiment AnalysisSubjectivity AnalysisA French Fairy Tale Corpus syntactically and semantically annotated
Fairy tales, folktales and more generally children stories have lately attracted the Natural Language Processing (NLP) community. As such, very few corpora exist and linguistic resources are lacking. The work presented i…
Ontology MatchingRelation ExtractionText ClassificationI say have you say tem: profiling verbs in children data in English and Portuguese
Annotating corpus data for a quantitative, constructional analysis of motion verbs in Modern Standard Arabic
Annotating sleep states in children from wrist-worn accelerometer data using Machine Learning
Sleep detection and annotation are crucial for researchers to understand sleep patterns, especially in children. With modern wrist-worn watches comprising built-in accelerometers, sleep logs can be collected. However, th…
Event Detection