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hello im avi stein um and im presenting news article text classification and summary for author and topic um and this work would not have been possible without my colleagues my advisor dr spearos mincortis as well as my colleagues at nyu janeth and rachel so i want to thank them okay so as an introduction we explored the applicability of natural language processing tasks to a new data set that has some unique advantages we compared authorship and topic classification in parallel environments we used information extraction via summarization and we compared different machine learning techniques for these tasks so this is all part of nlp and it is used nlp is used to analyze news social media uh millions of websites as well as extract data for tasks such as search which is used billions of times per day the thing is that human language is messy and complex and nlp is used is used to create efficient systems that have less bias though isis still can still be a problem with these things
