A survey on big data-driven digital phenoty** of mental health
The landscape of mental health has undergone tremendous changes within the last two
decades, but the research on mental health is still at the initial stage with substantial …
decades, but the research on mental health is still at the initial stage with substantial …
A systematic review of social network sentiment analysis with comparative study of ensemble-based techniques
Sentiment Analysis (SA) of text reviews is an emerging concern in Natural Language
Processing (NLP). It is a broadly active method for analyzing and extracting opinions from …
Processing (NLP). It is a broadly active method for analyzing and extracting opinions from …
Sentiment analysis classification system using hybrid BERT models
AS Talaat - Journal of Big Data, 2023 - Springer
Because of the rapid growth of mobile technology, social media has become an essential
platform for people to express their views and opinions. Understanding public opinion can …
platform for people to express their views and opinions. Understanding public opinion can …
An efficient hybrid filter and evolutionary wrapper approach for sentiment analysis of various topics on Twitter
Sentiment Analysis is currently considered as one of the most attractive research topics in
Natural Language Processing (NLP) field. The main objective of sentiment analysis is to …
Natural Language Processing (NLP) field. The main objective of sentiment analysis is to …
[HTML][HTML] A comparative performance evaluation of neural network based approach for sentiment classification of online reviews
The aim of sentiment classification is to efficiently identify the emotions expressed in the form
of text messages. Machine learning methods for sentiment classification have been …
of text messages. Machine learning methods for sentiment classification have been …
Patient opinion mining to analyze drugs satisfaction using supervised learning
V Gopalakrishnan, C Ramaswamy - Journal of applied research and …, 2017 - scielo.org.mx
Opinion mining is a very challenging problem, since user generated content is described in
various complex ways using natural language. In opinion mining, most of the researchers …
various complex ways using natural language. In opinion mining, most of the researchers …
Computational Intelligence in the hospitality industry: A systematic literature review and a prospect of challenges
This research work presents a detailed survey about Computational Intelligence (CI) applied
to various Hotel and Travel Industry areas. Currently, the hospitality industry's interest in data …
to various Hotel and Travel Industry areas. Currently, the hospitality industry's interest in data …
Survey on classic and latest textual sentiment analysis articles and techniques
Text is a typical example of unstructured and heterogeneous data in which massive useful
knowledge is embedded. Sentiment analysis is used to analyze and predict sentiment …
knowledge is embedded. Sentiment analysis is used to analyze and predict sentiment …
War propaganda effectiveness: a comparative content-analysis of media coverage of the two first months of Russia's invasion of Ukraine
A Oleinik - Atlantic Journal of Communication, 2024 - Taylor & Francis
The article discusses the coverage of the two first months of Russia's invasion of Ukraine by
mass media in four countries, Russia, Ukraine, the United States, and the United Kingdom …
mass media in four countries, Russia, Ukraine, the United States, and the United Kingdom …
[HTML][HTML] Applications and enhancement of document-based sentiment analysis in deep learning methods: Systematic literature review
Sentiment analysis has become a highly effective research field in the natural language
domain and has a large scope of real-world implementations. An existing active study …
domain and has a large scope of real-world implementations. An existing active study …