Sentiment Analysis System for Mapping Hate Speech Against Women in Social Media using GIS System
Keywords:
python, GIS, sentiment analysis, hate speech, social media, tweeter, women
Abstract
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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2022-11-26
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