[HTML][HTML] Users opinion and emotion understanding in social media regarding COVID-19 vaccine
Online social platforms or social platforms such as Twitter, Facebook and Instagram have
become popular platforms for a public discussion about social topics. Recent studies show …
become popular platforms for a public discussion about social topics. Recent studies show …
Ranking of field association terms using co-word analysis
Information retrieval involves finding some desired information in a store of information or a
database. In this paper, Co-word analysis will be used to achieve a ranking of a selected …
database. In this paper, Co-word analysis will be used to achieve a ranking of a selected …
[HTML][HTML] Spatial impressions monitoring during COVID-19 pandemic using machine learning techniques
During the COVID-19 epidemic, Twitter has become a vital platform for people to express
their impressions and feelings towards the COVID-19 epidemic. There is an unavoidable …
their impressions and feelings towards the COVID-19 epidemic. There is an unavoidable …
Granular information retrieval using neighborhood systems
OG El Barbary, AS Salama… - Mathematical Methods in …, 2018 - Wiley Online Library
With the rapid growth of the amount of information stored on networks such as the internet, it
is more difficult for information seekers to retrieve relevant information. This paper illustrates …
is more difficult for information seekers to retrieve relevant information. This paper illustrates …
Word classification and hierarchy using co-occurrence word information
K Morita, ES Atlam, M Fuketra, K Tsuda, M Oono… - Information processing & …, 2004 - Elsevier
By the development of the computer in recent years, calculating a complex advanced
processing at high speed has become possible. Moreover, a lot of linguistic knowledge is …
processing at high speed has become possible. Moreover, a lot of linguistic knowledge is …
Automatic building of new field association word candidates using search engine
ES Atlam, G Elmarhomy, K Morita, M Fuketa… - Information processing & …, 2006 - Elsevier
With increasing popularity of the Internet and tremendous amount of on-line text, automatic
document classification is important for organizing huge amounts of data. Readers can know …
document classification is important for organizing huge amounts of data. Readers can know …
Extraction, selection and ranking of Field Association (FA) Terms from domain-specific corpora for building a comprehensive FA terms dictionary
TC Dorji, E Atlam, S Yata, M Fuketa, K Morita… - … and Information Systems, 2011 - Springer
Abstract Field Association (FA) Terms—words or phrases that serve to identify document
fields are effective in document classification, similar file retrieval and passage retrieval. But …
fields are effective in document classification, similar file retrieval and passage retrieval. But …
[HTML][HTML] EASDM: Explainable Autism Spectrum Disorder Model Based on Deep Learning
A neuro-developmental disorder known as autism spectrum disorder (ASD) affects a
significant portion of the global population. Those with ASD frequently struggle to interact …
significant portion of the global population. Those with ASD frequently struggle to interact …
Improvement of building field association term dictionary using passage retrieval
Field Association (FA) terms are a limited set of discriminating terms that can specify
document fields. Document fields can be decided efficiently if there are many relevant FA …
document fields. Document fields can be decided efficiently if there are many relevant FA …
A new approach for Arabic text classification using Arabic field‐association terms
ES Atlam, K Morita, M Fuketa… - Journal of the American …, 2011 - Wiley Online Library
Field‐association (FA) terms give us the knowledge to identify document fields using a
limited set of discriminating terms. Although many earlier methods tried to extract …
limited set of discriminating terms. Although many earlier methods tried to extract …