[HTML][HTML] Sentiment analysis of epidemiological surveillance reports on COVID-19 in Greece using machine learning models
C Stefanis, E Giorgi, K Kalentzis… - Frontiers in Public …, 2023 - frontiersin.org
The present research deals with sentiment analysis performed with Microsoft Azure Machine
Learning Studio to classify Facebook posts on the Greek National Public Health …
Learning Studio to classify Facebook posts on the Greek National Public Health …
Sentiment analysis on Twitter data integrating TextBlob and deep learning models: The case of US airline industry
Twitter being among the popular social media platforms, provide peoples' opinions
regarding specific ideas, products, services, etc. The large amounts of shared data as tweets …
regarding specific ideas, products, services, etc. The large amounts of shared data as tweets …
[HTML][HTML] Emotions matter: A systematic review and meta-analysis of the detection and classification of students' emotions in stem during online learning
In recent years, the rapid growth of online learning has highlighted the need for effective
methods to monitor and improve student experiences. Emotions play a crucial role in …
methods to monitor and improve student experiences. Emotions play a crucial role in …
[HTML][HTML] A deep learning approach for sentiment analysis of COVID-19 reviews
User-generated multi-media content, such as images, text, videos, and speech, has recently
become more popular on social media sites as a means for people to share their ideas and …
become more popular on social media sites as a means for people to share their ideas and …
Promoting green brand of university in social media: Text mining and sentiment analysis
Combating climate change and mitigating its negative consequences requires enhancing
awareness of sustainable development. It is believed the education sector is an excellent …
awareness of sustainable development. It is believed the education sector is an excellent …
Sentiment analysis and emotion detection on cryptocurrency related tweets using ensemble LSTM-GRU model
The cryptocurrency market has been developed at an unprecedented speed over the past
few years. Cryptocurrency works similar to standard currency, however, virtual payments are …
few years. Cryptocurrency works similar to standard currency, however, virtual payments are …
[HTML][HTML] Blood cancer prediction using leukemia microarray gene data and hybrid logistic vector trees model
Blood cancer has been a growing concern during the last decade and requires early
diagnosis to start proper treatment. The diagnosis process is costly and time-consuming …
diagnosis to start proper treatment. The diagnosis process is costly and time-consuming …
[HTML][HTML] Analyzing sentiments regarding ChatGPT using novel BERT: A machine learning approach
Chatbots are AI-powered programs designed to replicate human conversation. They are
capable of performing a wide range of tasks, including answering questions, offering …
capable of performing a wide range of tasks, including answering questions, offering …
Racism detection by analyzing differential opinions through sentiment analysis of tweets using stacked ensemble gcr-nn model
With social media's dominating role in the socio-political landscape, several existing and
new forms of racism took place on social media. Racism has emerged on social media in …
new forms of racism took place on social media. Racism has emerged on social media in …
[HTML][HTML] Incorporating cnn features for optimizing performance of ensemble classifier for cardiovascular disease prediction
Cardiovascular diseases (CVDs) have been regarded as the leading cause of death with
32% of the total deaths around the world. Owing to the large number of symptoms related to …
32% of the total deaths around the world. Owing to the large number of symptoms related to …