Abstract
Social media is known as detectors platform that are used to measure the activities of the users in the real world. However, the huge and unfiltered feed of messages posted on social media trigger social warnings, particularly when these messages contain hate speech towards specific individual or community. The negative effect of these messages on individuals or the society at large is of great concern to governments and non-governmental organizations. Word clouds provide a simple and efficient means of visually transferring the most common words from text documents. This research aims to develop a word cloud model based on hateful words on online social media environment such as Google News. Several steps are involved including data acquisition and pre-processing, feature extraction, model development, visualization and viewing of word cloud model result. The results present an image in a series of text describing the top words. This model can be considered as a simple way to exchange high-level information without overloading the user's details.
Highlights
Natural Language Processing (NLP) is a discipline within AI which focusses on allowing computers to understand a process human language
Word cloud or tag cloud is a cloud filled with several different word sizes that represent the frequency or significance of each word (20)
The module of word cloud has the advantages of it fills all available space, it can use arbitrary masks, it has a simple yet efficient algorithm that can be modified using Python (21)
Summary
Natural Language Processing (NLP) is a discipline within AI which focusses on allowing computers to understand a process human language. NLP's primary task is to program computers to analyze and process a huge amount of natural language knowledge (1,2). It is a technology used every day by many people and has existed for many years. NLP is drawn from many disciplines, including computer science and computer linguistics, in its effort to fill the gap between human communication and machine understanding (3). This field is mainly concerned with the basic yet efficient relationship between humans and computers (4). The word ‘cloud’ or ‘tag clouds’ is a graphical representation of textual data terms (5)
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