Leveraging Natural Language Processing to Understand Public Outlook Towards the Influenza Vaccination

Research output: Contribution to journal › Article › peer-review

Original language	American English
Journal	2020 IEEE International Conference on Big Data (Big Data)
DOIs	https://doi.org/10.1109/BigData50022.2020.9378075
State	Published - Mar 19 2021

Keywords

@article{e358a84a9552464e8d5d7870016c0120,

title = "Leveraging Natural Language Processing to Understand Public Outlook Towards the Influenza Vaccination",

keywords = "Computer Science--Computation and Language, Computer Science--Machine Learning, Influenza vaccines--Public opinion",

author = "Ankita Agarwal and William Romine and Tanvi Banerjee",

year = "2021",

month = mar,

day = "19",

doi = "10.1109/BigData50022.2020.9378075",

language = "American English",

journal = "2020 IEEE International Conference on Big Data (Big Data)",

}

TY - JOUR

T1 - Leveraging Natural Language Processing to Understand Public Outlook Towards the Influenza Vaccination

AU - Agarwal, Ankita

AU - Romine, William

AU - Banerjee, Tanvi

PY - 2021/3/19

Y1 - 2021/3/19

KW - Computer Science--Computation and Language

KW - Computer Science--Machine Learning

KW - Influenza vaccines--Public opinion

UR - https://corescholar.libraries.wright.edu/cse/641

UR - https://doi.org/10.1109/BigData50022.2020.9378075

U2 - 10.1109/BigData50022.2020.9378075

DO - 10.1109/BigData50022.2020.9378075

M3 - Article

JO - 2020 IEEE International Conference on Big Data (Big Data)

JF - 2020 IEEE International Conference on Big Data (Big Data)

ER -