Thalassemia Screening by Sentiment Analysis on Social Media Platform Twitter
Source abstract
Abstract
Thalassemia syndrome is a genetic blood disorder induced by the reduction of normal hemoglobin production, resulting in a drop in the size of red blood cells. In severe forms, it can lead to death. This genetic disorder ha... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Hemoglobinopathies and Related Disorders
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (41)
Show source-provided references
1. Thalassemias: An overview10.3390/ijns5010016 ↗
2. The ethics of genetic screening for beta thalassemia in Vietnam
3. Coping with the burden of thalassemia: Aiming for a thalassemia free world10.4103/gjtm.gjtm_19_18 ↗
4. Factors associated with continuing emergence of β-thalassemia major despite prenatal testing: A cross-sectional survey10.2147/IJWH.S141936 ↗
5. Yadav · Intelligent Data Communication Technologies and Internet of Things · 2021 · 57 · 631
6. Social media use in healthcare: A systematic review of effects on patients and on their relationship with healthcare professionals10.1186/s12913-016-1691-0 ↗
7. Approaches, tools and applications for sentiment analysis implementation10.5120/ijca2015905866 ↗
8. Sentiment analysis on twitter data: A survey10.1145/3348445.3348466 ↗
9. Deductions from a sub-saharan African bank’s tweets: A sentiment analysis approach10.1145/3348445.3348466 ↗
10. Concerns of thalassemia patients, carriers, and their caregivers in Malaysia: Text mining information shared on social media
11. Health miner: Opinion extraction from user generated health reviews10.7813/2075-4124.2013/5-6/A.35 ↗
12. SentiHealth: Creating health-related sentiment lexicon using hybrid approach10.1186/s40064-016-2809-x ↗
13. Sentiment analysis on tweets about diabetes: An aspect-level approach10.1155/2017/5140631 ↗
14. Semantic analysis of cardiovascular disease sentiment in online social media10.2139/ssrn.3462426 ↗
15. Sentiment analysis of breast cancer screening in the United States using twitter
16. Can i hear you? sentiment analysis on medical forums
17. Social media-based COVID-19 sentiment classification model using Bi-LSTM10.1016/j.eswa.2022.118710 ↗
18. Medical sentiment analysis using social media: Towards building a patient assisted system
19. Optimization on machine learning based approaches for sentiment analysis on HPV vaccines related tweets10.1186/s13326-017-0120-6 ↗
20. Lexicon-based approach outperforms supervised machine learning approach for Urdu sentiment analysis in multiple domains10.1016/j.tele.2018.08.003 ↗
21. Improved lexicon-based sentiment analysis for social media analytics10.1186/s13388-015-0024-x ↗
22. VADER: A parsimonious rule-based model for sentiment analysis of social media text
23. Narasamma · Smart Technologies in Data Science and Communication · 2021 · 29 · 18310.1007/978-981-16-1773-7_15 ↗
24. How do general-purpose sentiment analyzers perform when applied to health-related online social media data?
25. A comprehensive study on lexicon based approaches for sentiment analysis10.51983/ajcst-2019.8.S2.2037 ↗
26. A review of social media posts from Unicredit bank in Europe: A sentiment analysis approach
27. Public sentiment analysis in social media on the SARS-CoV-2 vaccination using VADER lexicon polarity
28. Twitter text mining for sentiment analysis on government’s response to forest fires with vader lexicon polarity detection and k-nearest neighbor algorithm10.1088/1742-6596/1567/3/032024 ↗
29. Training and prediction data discrepancies: Challenges of text classification with noisy, historical data10.18653/v1/w18-6114 ↗
30. The effect of preprocessing techniques on Twitter sentiment analysis
31. Twitter sentiment analysis using natural language toolkit and Vader sentiment
32. C. Zacharias and F. Poldi, “GitHubtwintproject/twint: An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, tweets and more while evading most API limitations,” February 2020. Available: https://github.com/twintproject/twint
33. Price prediction and analysis of financial markets based on news, social feed, and sentiment index using machine learning and market data
34. nltk: The natural language toolkit”10.3115/1118108.1118117 ↗
35. Thalassemia and its management during pregnancy10.5005/jp-journals-10065 ↗
36. Thalassemias in South Asia: Clinical lessons learnt from Bangladesh10.1186/s13023-017-0643-z ↗
37. Detecting and responding to hostile disinformation activities on social media using machine learning and deep neural networks10.1007/s00521-022-07296-0 ↗
38. Prevalence and genetic analysis of α-and β-thalassemia in Baise region, a multi-ethnic region in southern China10.1016/j.gene.2016.02.014 ↗
39. AOH-senti: Aspect-oriented hybrid approach to sentiment analysis of students’ feedback10.1007/s42979-022-01611-1 ↗
40. Restaurant survival prediction using customer-generated content: An aspect-based sentiment analysis of online reviews10.1016/j.tourman.2022.104707 ↗
41. Explaining sentiment analysis results on social media texts through visualization