Sentiment analysis for mining texts and social networks data: Methods and tools
Social networks (SNs) represent an established environment in which users share daily
emotions and opinions. Therefore, they have become an essential source of big data related …
emotions and opinions. Therefore, they have become an essential source of big data related …
Explainable sentiment analysis with applications in medicine
Sentiment Analysis can help to extract knowledge related to opinions and emotions from
user generated text information. It can be applied in medical field for patients monitoring …
user generated text information. It can be applied in medical field for patients monitoring …
Sentiment analysis and affective computing for depression monitoring
C Zucco, B Calabrese… - 2017 IEEE international …, 2017 - ieeexplore.ieee.org
Depression is one of the most common and disabling mental disorders that has a relevant
impact on society. Semiautomatic and/or automatic health monitoring systems could be …
impact on society. Semiautomatic and/or automatic health monitoring systems could be …
Mining twitter data for depression detection
P Arora, P Arora - 2019 international conference on signal …, 2019 - ieeexplore.ieee.org
Health care twitter analysis deals with the health related tweets through sentimental analysis
by the patients themselves. The application of sentiment analysis has grown enormously. Its …
by the patients themselves. The application of sentiment analysis has grown enormously. Its …
Medical prescription classification: a NLP-based approach
V Carchiolo, A Longheu, G Reitano… - … on Computer Science …, 2019 - ieeexplore.ieee.org
The digitization of healthcare data has been consolidated in the last decade as a must to
manage the vast amount of data generated by healthcare organizations. Carrying out this …
manage the vast amount of data generated by healthcare organizations. Carrying out this …
Extracting association rules from medical health records using multi-criteria decision analysis
KS Lakshmi, G Vadivu - Procedia Computer Science, 2017 - Elsevier
Abstract Medical Health Records serves as rich knowledge sources for data mining. The
availability of enormous amounts of medical data can be utilized to extract constructive facts …
availability of enormous amounts of medical data can be utilized to extract constructive facts …
Analyzing the sentiment correlation between regular tweets and retweets
J Chen, MS Hossain, H Zhang - Social network analysis and mining, 2020 - Springer
Retweeting is an important way of information propagation on Twitter. In this paper, we
investigate the sentiment correlation between regular tweets and retweets. We anticipate our …
investigate the sentiment correlation between regular tweets and retweets. We anticipate our …
[HTML][HTML] Infodemiological examination of personal and commercial tweets about cannabidiol: term and sentiment analysis
Background In the absence of official clinical trial information, data from social networks can
be used by public health and medical researchers to assess public claims about loosely …
be used by public health and medical researchers to assess public claims about loosely …
Information Extraction and Sentiment Analysis to gain insight into the COVID-19 crisis
The recent outbreak of coronavirus disease (COVID-19) has vividly proven to be a global
outbreak that has caused millions of lives and left the world in distress. Many research …
outbreak that has caused millions of lives and left the world in distress. Many research …
What topics and emotions expressed by glaucoma patients? A sentiment analysis perspective
SM Sarsam, AI Alzahrani, H Al-Samarraie - Social Network Analysis and …, 2024 - Springer
The recognition of eye disorders has the potential to reduce blindness in people. The need
for a procedural method is important to boost the overall recognition process. Although the …
for a procedural method is important to boost the overall recognition process. Although the …