Automated Analysis of Comments on Press Articles in Websites (Articles Literature as Case Study)

Abdulrahman, Afra A.; Rahma, Abdul Monem S.

doi:10.30684/etj.v38i2B.1451

	Automated Analysis of Comments on Press Articles in Websites (Articles Literature as Case Study)
Engineering and Technology Journal
Article 5, Volume 38, 2B, 2020, Pages 74-84 PDF (912.52 K)
Document Type: Research Paper
DOI: 10.30684/etj.v38i2B.1451
Authors
Afra A. Abdulrahman^* ; Abdul Monem S. Rahma
Computer Science Department, University of Technology, Baghdad, Iraq,
Abstract
Due to the increasing electronic publishing sites for printed and certified newspapers, the reader faced the problem of reaching his goal by accessing these sites, which led to the neglect of a large section of important publications. The provision of an automated measure to verify the positive and negative articles based on the analysis of readers' comments on the articles is a necessity to see the important articles that are compatible with the corpus generated by us for inference. The project achieved the previous target and achieved a success rate. The Bag-of-Words Model (BoW) was used to obtain the repetition of the block of words to build the corpus. The proposed system is evaluated based on four metrics (Accuracy= 93%, Precision= 94%, Recall= 94% and F-measure= 94%). The effectiveness results obtain by this system was (Accuracy, Precision and Recall and F-measure).
Keywords
Automated analysis; Newspaper; NLP; Statistical Analysis

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