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MEDIA PERCEPTION INDICATOR

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dc.contributor.author DR SHOAB A KHAN, BURHAN,TAHA,QALAB-E-ABBAS,SAMEED
dc.date.accessioned 2025-04-29T04:02:40Z
dc.date.available 2025-04-29T04:02:40Z
dc.date.issued 2014
dc.identifier.other DE-COMP-32
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/52588
dc.description SUPERVISOR Dr Shoab A Khan Dr Usman Qamar en_US
dc.description.abstract In the world of today media is one of the strongest tools in the domain of psychological warfare.Unfortunately now a days, Pakistan in not in the good books of media, which if affecting our tourism, trade and many other factors that contribute in the development of a country. We are introducing a solution for policy makers so that they can analyze Pakistan’s perception in the media with concrete statistics that will be provided to them by this tool. So, that they could take all possible measures to counter these problems. Our algorithm makes it easy to analyze news from various sources and uses graphical as well as geographical representations to help the user better understand the situation. The online news are best resource to get the latest and fastest information around the globe. So, we will crawl the web and gather news from newspapers of various countries such as India (The Hindu), United States (Seattle Times) and Pakistan (The News).The biggest issue with online news articles is that they are unstructured, so after collection of these articles they have to go through massive processing to turn them into a structured form so that the consistency of the database is maintained. After structuring the data we apply Natural Language Processing algorithms to first tag the parts of speech in the news article and then apply sentiment analysis on these parts speech to calculate positive sentiment, negative sentiment and objectivity. The data set then goes through further processing to tag the emotions represented in the particular news. Once all the processing is complete we make use of different graphical representation to help the user understand the facts and statistics more accurately. en_US
dc.language.iso en en_US
dc.publisher College of Electrical & Mechanical Engineering (CEME), NUST en_US
dc.title MEDIA PERCEPTION INDICATOR en_US
dc.type Project Report en_US


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