[HTML][HTML] A survey on sentiment analysis methods, applications, and challenges
The rapid growth of Internet-based applications, such as social media platforms and blogs,
has resulted in comments and reviews concerning day-to-day activities. Sentiment analysis …
has resulted in comments and reviews concerning day-to-day activities. Sentiment analysis …
[HTML][HTML] A survey of sentiment analysis: Approaches, datasets, and future research
Sentiment analysis is a critical subfield of natural language processing that focuses on
categorizing text into three primary sentiments: positive, negative, and neutral. With the …
categorizing text into three primary sentiments: positive, negative, and neutral. With the …
[HTML][HTML] Survey on sentiment analysis: evolution of research methods and topics
Sentiment analysis, one of the research hotspots in the natural language processing field,
has attracted the attention of researchers, and research papers on the field are increasingly …
has attracted the attention of researchers, and research papers on the field are increasingly …
[HTML][HTML] Sentiment analysis and opinion mining on educational data: A survey
Sentiment analysis AKA opinion mining is one of the most widely used NLP applications to
identify human intentions from their reviews. In the education sector, opinion mining is used …
identify human intentions from their reviews. In the education sector, opinion mining is used …
[HTML][HTML] Machine learning in crime prediction
K Jenga, C Catal, G Kar - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
Predicting crimes before they occur can save lives and losses of property. With the help of
machine learning, many researchers have studied predicting crimes extensively. In this …
machine learning, many researchers have studied predicting crimes extensively. In this …
[HTML][HTML] Echo chamber effects on short video platforms
In recent years, short videos have become an increasingly vital source of information. To
compete for users' attention, short video platforms have been overusing algorithmic …
compete for users' attention, short video platforms have been overusing algorithmic …
[HTML][HTML] Sentiment analysis of clinical narratives: a scoping review
K Denecke, D Reichenpfader - Journal of Biomedical Informatics, 2023 - Elsevier
A clinical sentiment is a judgment, thought or attitude promoted by an observation with
respect to the health of an individual. Sentiment analysis has drawn attention in the …
respect to the health of an individual. Sentiment analysis has drawn attention in the …
[PDF][PDF] Multi-tier sentiment analysis of social media text using supervised machine learning
Sentiment Analysis (SA) is often referred to as opinion mining. It is defined as the extraction,
identification, or characterization of the sentiment from text. Generally, the sentiment of a …
identification, or characterization of the sentiment from text. Generally, the sentiment of a …
A systematic review of applications of natural language processing and future challenges with special emphasis in text-based emotion detection
Artificial Intelligence (AI) has been used for processing data to make decisions, Interact with
humans, and understand their feelings and emotions. With the advent of the Internet, people …
humans, and understand their feelings and emotions. With the advent of the Internet, people …
[HTML][HTML] A systematic literature review of Arabic dialect sentiment analysis
Y Matrane, F Benabbou, N Sael - … of King Saud University-Computer and …, 2023 - Elsevier
Sentiment analysis is the process of using natural language processing, computational
linguistics, and other text analysis techniques to identify and extract subjective information in …
linguistics, and other text analysis techniques to identify and extract subjective information in …