Browsing by Author "rao adnan sarwar"

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    Sentiment analysis of pakistan based media houses and politicians
    (UMT.Lahore, 2019) rao adnan sarwar
    Twitter is a very popular and authentic social networking platform. People can use a max of 280 character to express their views and thoughts. These short expressions may consist of text, images and URL etc. A phrase has lot of information about a person’s thoughts and their tendency towards any event, topic or a person. Objective of this research is to present a tool to analyze the biasness of a person or media houses about any topic, person or group. To achieve this goal, a methodology of sentiment analysis is proposed in this study. In the proposed methodology, fundamental techniques of text mining like tokenization, stop word removal, slang replacement, POS tagging are used. Different libraries and APIs e.g. the very famous lexical resources library for sentiment analysis “Sentiwordnet”, and a Twitter API “Tweetinvi” are used. In the result of detail analysis of sentiment values there are a brief graphical and tabular representations. An application has been created to find out biasness of any person. For this study, 7500 tweets were collected for a time spans of three years. The web version of this application also can calculate biasness on live stream of tweets. Finally, we get results in the form of graphs and tables. This research can be used in media rating or in marketing for customer’s feedback analysis.