Insights into NLP: Text Classification, Authorship Analysis, and Dataset Overview

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Explore various aspects of Natural Language Processing (NLP) through examples of text classification, authorship analysis of Federalist papers, gender identification in writing, movie review sentiment analysis, and article subject categories. Learn about well-known datasets used in NLP research and gain valuable insights into the field.

  • NLP Insights
  • Text Classification
  • Authorship Analysis
  • Dataset Overview

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Presentation Transcript


  1. NLP

  2. Introduction to NLP Examples of Text Classification

  3. Who wrote which Federalist papers? 1787-8: anonymous essays try to convince New York to ratify U.S Constitution: Jay, Madison, Hamilton. Authorship of 12 of the letters in dispute 1963: solved by Mosteller and Wallace using Bayesian methods James Madison Alexander Hamilton

  4. Male or female author? 1. By 1925 present-day Vietnam was divided into three parts under French colonial rule. The southern region embracing Saigon and the Mekong delta was the colony of Cochin-China; the central area with its imperial capital at Hue was the protectorate of Annam 2. Clara never failed to be astonished by the extraordinary felicity of her own name. She found it hard to trust herself to the mercy of fate, which had managed over the years to convert her greatest shame into one of her greatest assets S. Argamon, M. Koppel, J. Fine, A. R. Shimoni, 2003. Gender, Genre, and Writing Style in Formal Written Texts, Text, volume 23, number 3, pp. 321 346

  5. Positive or negative movie review? unbelievably disappointing Full of zany characters and richly applied satire, and some great plot twists this is the greatest screwball comedy ever filmed It was pathetic. The worst part about it was the boxing scenes.

  6. What is the subject of this article? MeSH Subject Category Hierarchy MEDLINE Article Antogonists and Inhibitors Blood Supply Chemistry Drug Therapy Embryology Epidemiology ?

  7. Well-known Datasets 20 newsgroups http://qwone.com/~jason/20Newsgroups/ Reuters-21578 http://www.daviddlewis.com/resources/testcollections/reuter s21578/ Cats: grain, acquisitions, corn, crude, wheat, trade WebKB http://www-2.cs.cmu.edu/~webkb/ course, student, faculty, staff, project, dept, other RCV1 http://www.daviddlewis.com/resources/testcollections/rcv1/ Larger Reuters corpus

  8. NLP

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