@inproceedings{podina-etal-2021-natural,
title = "Natural language processing as a tool to identify the {R}eddit particularities of cancer survivors around the time of diagnosis and remission: A pilot study",
author = "Podin{\u{a}}, Ioana R. and
Bucur, Ana-Maria and
Todea, Diana and
Fodor, Liviu and
Luca, Andreea and
Dinu, Liviu P. and
Boian, Rareș",
editor = "Varis, Erika and
Georgi, Ryan and
Tsai, Alicia and
Anastasopoulos, Antonios and
Chandu, Kyathi and
Schofield, Xanda and
Ranathunga, Surangika and
Lepp, Haley and
Ghosal, Tirthankar",
booktitle = "Proceedings of the Fifth Workshop on Widening Natural Language Processing",
month = nov,
year = "2021",
address = "Punta Cana, Dominican Republic",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.winlp-1.4/",
pages = "21--24",
abstract = "In the current study, we analyzed 15297 texts from 39 cancer survivors who posted or commented on Reddit in order to detect the language particularities of cancer survivors from online discourse. We performed a computational linguistic analysis (part-of-speech analysis, emoji detection, sentiment analysis) on submissions around the time of the cancer diagnosis and around the time of remission. We found several significant differences in the texts posted around the time of remission compared to those around the time of diagnosis. Though our results need to be backed up by a higher corpus of data, they do cue to the fact that cancer survivors, around the time of remission, focus more on others, are more active on social media, and do not see the glass as half empty as suggested by the valence of the emojis."
}
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<abstract>In the current study, we analyzed 15297 texts from 39 cancer survivors who posted or commented on Reddit in order to detect the language particularities of cancer survivors from online discourse. We performed a computational linguistic analysis (part-of-speech analysis, emoji detection, sentiment analysis) on submissions around the time of the cancer diagnosis and around the time of remission. We found several significant differences in the texts posted around the time of remission compared to those around the time of diagnosis. Though our results need to be backed up by a higher corpus of data, they do cue to the fact that cancer survivors, around the time of remission, focus more on others, are more active on social media, and do not see the glass as half empty as suggested by the valence of the emojis.</abstract>
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%0 Conference Proceedings
%T Natural language processing as a tool to identify the Reddit particularities of cancer survivors around the time of diagnosis and remission: A pilot study
%A Podină, Ioana R.
%A Bucur, Ana-Maria
%A Todea, Diana
%A Fodor, Liviu
%A Luca, Andreea
%A Dinu, Liviu P.
%A Boian, Rareș
%Y Varis, Erika
%Y Georgi, Ryan
%Y Tsai, Alicia
%Y Anastasopoulos, Antonios
%Y Chandu, Kyathi
%Y Schofield, Xanda
%Y Ranathunga, Surangika
%Y Lepp, Haley
%Y Ghosal, Tirthankar
%S Proceedings of the Fifth Workshop on Widening Natural Language Processing
%D 2021
%8 November
%I Association for Computational Linguistics
%C Punta Cana, Dominican Republic
%F podina-etal-2021-natural
%X In the current study, we analyzed 15297 texts from 39 cancer survivors who posted or commented on Reddit in order to detect the language particularities of cancer survivors from online discourse. We performed a computational linguistic analysis (part-of-speech analysis, emoji detection, sentiment analysis) on submissions around the time of the cancer diagnosis and around the time of remission. We found several significant differences in the texts posted around the time of remission compared to those around the time of diagnosis. Though our results need to be backed up by a higher corpus of data, they do cue to the fact that cancer survivors, around the time of remission, focus more on others, are more active on social media, and do not see the glass as half empty as suggested by the valence of the emojis.
%U https://aclanthology.org/2021.winlp-1.4/
%P 21-24
Markdown (Informal)
[Natural language processing as a tool to identify the Reddit particularities of cancer survivors around the time of diagnosis and remission: A pilot study](https://aclanthology.org/2021.winlp-1.4/) (Podină et al., WiNLP 2021)
ACL