Abstract
Now day’s text Classification and Sentiment analysis is considered as one of the popular Natural Language Processing (NLP) tasks. This kind of technique plays significant role in human activities and has impact on the daily behaviours. Each article in different fields such as politics and business represent different opinions according to the writer tendency. A huge amount of data will be acquired through that differentiation. The capability to manage the political orientation of an online article automatically. Therefore, there is no corpus for political categorization was directed towards this task in Arabic, due to the lack of rich representative resources for training an Arabic text classifier. However, we introduce political Arabic articles dataset (PAAD) of textual data collected from newspapers, social network, general forum and ideology website. The dataset is 206 articles distributed into three categories as (Reform, Conservative and Revolutionary) that we offer to the research community on Arabic computational linguistics. We anticipate that this dataset would make a great aid for a variety of NLP tasks on Modern Standard Arabic, political text classification purposes. We present the data in raw form and excel file. Excel file will be in four types such as V1 raw data, V2 preprocessing, V3 root stemming and V4 light stemming.
Highlights
Nowadays more and more Arabic political is presented in the form of electronics
The remaining percentage 10% is specific for beliefs and ideas that founded the party thought and for the political events
political Arabic articles dataset (PAAD) has a total number of 206 articles
Summary
Nowadays more and more Arabic political is presented in the form of electronics. Arabic political inform us about the current event and explain situations, political articles include education, war, politics, economy and so on. Political articles records people's opinion and action objectivity from our situations and Ariba countries have many situations as Iraq, Syria and Lebanon and so on. This area will reach for Arabic political articles and we have to make analysis. The data analysis applications are concentrated on machine learning models that association with the exploration of the statistical properties of the variables. This can be obtained by plotting the scatter of data, which summarize each class for visualization. This research is presented scatter plots for each input variable and three outputs
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