Reputation scoring fake news using text mining | Swiss German University Library

Search by :

ALL Author Subject ISBN/ISSN Advanced Search

Last search:

Image of Reputation scoring fake news using text mining

Reputation scoring fake news using text mining

TFIDF and GGA based on using Naive Bayes algorithm - Personal Name;

The classification of hoax news or news with incorrect information is one of the text categorization applications. Like text-based categorization of machine applications in general

Availability

M00448 (Rack Thesis) Available but not for loan - Missing

Detail Information

Series Title: -
Call Number: 448
Publisher: Tangerang : Swiss German University., 2017
Collation: -
Language: English
ISBN/ISSN: -
Classification: NONE
Content Type: -
Media Type: -
Carrier Type: -
Edition: -
Subject(s): supporting Vector Machine and Decision Tree no sig
Specific Detail Info: -
Statement of Responsibility: experiments were conducted to select the best technique in each sub-process by using 1200 articles hoax and 600 article no hoax collected manually. This research Tried experimenting to determine the b

Other version/related

No other version available

File Attachment

No Data

Comments

You must be logged in to post a comment