Classification of News Articles using Supervised Machine Learning Approach

Today the big challenge for NEWS organization to well organize the news and well categorize the news in automatically no need the data entry people to enter and select the category and then based on the category and its sub-category they will be manually selected and enter the details and then after this the analysis will later on used for different aspects. The news is almost every second used in different sources of media in soft and hard. We use the both sources of the Pakistan News in dual languages English and Urdu both and process them and prepare them for machine learning and based on the Machine learning trained data we build a very effective and efficient model that can predict the title category of the news and category of description of the news. We use different machine learning algorithms and different features extraction finally we build the model using the machine learning algorithm with 89% accuracy with logistic regression.

Individuals Perceptions About the Credibility of Social and Traditional Media and its Impact on Media Preference in Pakistan.

credibility on traditional and social media preference through the mediating role of individual perception about media. Furthermore, the moderating role of traditional and social media usage and gender are also investigated in the study. The data has been collected from the students (N= 1383) of seven metropolitan cities of Pakistan i.e. Lahore, Karachi, Quetta, Peshawar, Islamabad, Muzaffarabad and Gilgit Baltistan. The data has been collected using a survey based questionnaires. The data has been analyzed statistically, using SPSS. The reliability and validity tests were applied to validate the instrument. Statistical analysis like correlation, regression and bootstrapping were used to test the direct and indirect hypotheses. The findings indicate that traditional and social media credibility has a direct and positive relationship with individual perception and traditional and social media preference. Additionally, the individual perception mediates the relationship between the traditional and social media credibility and traditional media preference. Moreover, the moderation analysis shows that Social and traditional media usage moderates the relationship between Social and traditional media credibility and individual perception. The moderation analysis of gender between different variables also provided some interesting insight. The results indicate that in male media users the relationship is stronger than the female media users. The relationship between traditional media credibility and individual perception and Credibility of Social and Traditional Media in Pakistan viii predicted that the male has a stronger relationship. The results found a higher level of individual perception in male media users than female media users. Pakistan is a developing country where private news media and the social media networks are growing rapidly. In such situations, understanding about the individual''s perceptions with reference to the media credibility and media preferences are becoming more complex. The present study adds to the body of knowledge in the area of media credibility and individual perception in Pakistan.