Abstract

Cancer incidence and mortality is increasing globally. The people affected constantly remain in distress the family is under enormous financial and psychological pressure. Social media provides an excellent outlet to vent out all the feelings that develop in one’s mind, which could prove critical for one’s health and survival in cases such as cancer. Reddit is one such social platform with its subreddit dedicated to folks affected by cancer. Subreddit is estimated to be sentiment heavy. We aimed to examine these sentiments and categorize the kind of discussions within the cancer subreddit community, with the intent of categorizing the topic of discussion. Using Python, push shift application programming interface (API) was used nearly ten thousand posts were extracted. After proper data cleaning, we validated the authenticity of data extracted via visualization, then performed Latent Dirichlet Allocation (LDA) to categorize these posts using libraries to separate the posts based on semantics. The topics were categorized in to 3, most topics belonged to category 1 which included emotions, immediate response to diagnosis.

Original languageEnglish
Title of host publicationICT Infrastructure and Computing - Proceedings of ICT4SD 2022
EditorsMilan Tuba, Shyam Akashe, Amit Joshi
PublisherSpringer Science and Business Media Deutschland GmbH
Pages335-346
Number of pages12
ISBN (Print)9789811953309
DOIs
Publication statusPublished - 2023
Event7th International Conference on ICT for Sustainable Development , ICT4SD 2022 - Panaji, India
Duration: 29-07-202230-07-2022

Publication series

NameLecture Notes in Networks and Systems
Volume520
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference7th International Conference on ICT for Sustainable Development , ICT4SD 2022
Country/TerritoryIndia
CityPanaji
Period29-07-2230-07-22

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications

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