Difference between revisions of "Automatic Detection of Point of View Differences in Wikipedia"
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| − | '''Automatic Detection of Point of View Differences in Wikipedia''' - scientific work related to Wikipedia quality published in 2012, written by Khalid Al Khatib, Hinrich Sch"utze and Cathleen Kantner. | + | '''Automatic Detection of Point of View Differences in Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2012, written by [[Khalid Al Khatib]], [[Hinrich Sch"utze]] and [[Cathleen Kantner]]. |
== Overview == | == Overview == | ||
| − | Authors investigate differences in point of view (POV) between two objective documents, where one is describing the subject matter in a more positive/negative way than the other, and present an automatic method for detecting such POV differences. Authors use Amazon Mechanical Turk (AMT) to annotate sentences as positive, negative or neutral based on their POV towards a given target. A statistical classifier is trained to predict the POV score of a document, which reflects how positive/negative the document’s POV towards its target is. The results of experiments on a set of articles in the Arabic and English | + | Authors investigate differences in point of view (POV) between two objective documents, where one is describing the subject matter in a more positive/negative way than the other, and present an automatic method for detecting such POV differences. Authors use [[Amazon]] Mechanical Turk (AMT) to annotate sentences as positive, negative or neutral based on their POV towards a given target. A statistical classifier is trained to predict the POV score of a document, which reflects how positive/negative the document’s POV towards its target is. The results of experiments on a set of articles in the Arabic and [[English Wikipedia]]s from the people category show that method successfully detects POV differences. |
Revision as of 07:30, 1 July 2019
Automatic Detection of Point of View Differences in Wikipedia - scientific work related to Wikipedia quality published in 2012, written by Khalid Al Khatib, Hinrich Sch"utze and Cathleen Kantner.
Overview
Authors investigate differences in point of view (POV) between two objective documents, where one is describing the subject matter in a more positive/negative way than the other, and present an automatic method for detecting such POV differences. Authors use Amazon Mechanical Turk (AMT) to annotate sentences as positive, negative or neutral based on their POV towards a given target. A statistical classifier is trained to predict the POV score of a document, which reflects how positive/negative the document’s POV towards its target is. The results of experiments on a set of articles in the Arabic and English Wikipedias from the people category show that method successfully detects POV differences.
