Browsing by Author "Shahzaib Ali and Muhammad Bilal Hussain"

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    Political Sentiment Analyzer Tool
    (UMT, Lahore, 2018) Shahzaib Ali and Muhammad Bilal Hussain
    Sentiment analysis is to make a compound of separate and group opinion and composed in the form of content. It is the major task of NLP. Sentiment analysis is a hot field at the intersection of computer science and linguistics that to determine all the sentiment contained text automatically. As many users express their views on social media network, so that kind of stuff is valuable for opinion mining to predict or infer some result. This project represents all the strategy for the classification of data using advanced algorithms like Naïve Bayes technique based on three states; negative, positive, neutral. We use AAVN (Adverb-Adjective-Verb-Noun) combination method to analysis the social media data for sentiments. We separate all the data of into negative or positive result to convert it into pattern or knowledge based and make it valuable for client in choice making.