[HTML][HTML] A review of semi-supervised learning for text classification
JM Duarte, L Berton - Artificial intelligence review, 2023 - Springer
A huge amount of data is generated daily leading to big data challenges. One of them is
related to text mining, especially text classification. To perform this task we usually need a …
related to text mining, especially text classification. To perform this task we usually need a …
[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 …
[HTML][HTML] Sentiment analysis of persian movie reviews using deep learning
Sentiment analysis aims to automatically classify the subject's sentiment (eg, positive,
negative, or neutral) towards a particular aspect such as a topic, product, movie, news, etc …
negative, or neutral) towards a particular aspect such as a topic, product, movie, news, etc …
NADI 2022: The third nuanced Arabic dialect identification shared task
We describe findings of the third Nuanced Arabic Dialect Identification Shared Task (NADI
2022). NADI aims at advancing state of the art Arabic NLP, including on Arabic dialects. It …
2022). NADI aims at advancing state of the art Arabic NLP, including on Arabic dialects. It …
[HTML][HTML] Ensemble stacking model for sentiment analysis of Emirati and Arabic dialects
AA Al Shamsi, S Abdallah - Journal of King Saud University-Computer and …, 2023 - Elsevier
Sentiment analysis is the process of examining people's opinions and emotions towards
goods, services, organizations, individuals, and other things, through the use of textual data …
goods, services, organizations, individuals, and other things, through the use of textual data …
[HTML][HTML] Extending persian sentiment lexicon with idiomatic expressions for sentiment analysis
Nowadays, it is important for buyers to know other customer opinions to make informed
decisions on buying a product or service. In addition, companies and organizations can …
decisions on buying a product or service. In addition, companies and organizations can …
Detecting Alzheimer's disease using machine learning methods
As the world is experiencing population growth, the portion of the older people, aged 65 and
above, is also growing at a faster rate. As a result, the dementia with Alzheimer's disease is …
above, is also growing at a faster rate. As a result, the dementia with Alzheimer's disease is …
[HTML][HTML] Sentiment analysis of emirati dialect
A A. Al Shamsi, S Abdallah - Big Data and Cognitive Computing, 2022 - mdpi.com
Recently, extensive studies and research in the Arabic Natural Language Processing
(ANLP) field have been conducted for text classification and sentiment analysis. Moreover …
(ANLP) field have been conducted for text classification and sentiment analysis. Moreover …
Novel ensemble algorithm for multiple activity recognition in elderly people exploiting ubiquitous sensing devices
Ambient assisted living is good way to look after ageing population that enables us to detect
human's activities of daily living (ADLs) and postures, as number of older adults are …
human's activities of daily living (ADLs) and postures, as number of older adults are …
[HTML][HTML] An analysis of customer perception using lexicon-based sentiment analysis of Arabic Texts framework
Abstract Sentiment Analysis (SA) employing Natural Language Processing (NLP) is pivotal
in determining the positivity and negativity of customer feedback. Although significant …
in determining the positivity and negativity of customer feedback. Although significant …