Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
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ReserarchID
1351X
Crossref Journal DOI 10.17406/GJHSS
Print ISSN 0975-587X
e-ISSN 2249-460X
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This study aims to map hate speech against women in the Middle East using a Geographic Information System (GIS) and sentiment analysis, with the goal of identifying patterns. The hate speech terms that were utilized in the research were gathered from more than 3600 women in the study region, according to the data. Furthermore, sentiment analysis was employed to assess the hate speech phrases that were picked from Twitter throughout the period 2017 to 2020, according to the study. In order to classify the study area into different classes based on different factors such as the number of Twitter users in the country, the number of females in the country, and the impact of hate speech words in each country of the study area, the Weighted Overlay method was used in conjunction with a Geographic Information System (GIS). The findings revealed that the region might be divided into five categories depending on the presence of hate speech. Saudi Arabia and Egypt were classed as having very high levels of hate speech, whilst Bahrain and Qatar were classified as having extremely low levels of hate speech.
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