Articles via Databases
Articles via Journals
Online Catalog
E-books
Research & Information Literacy
Interlibrary loan
Theses & Dissertations
Collections
Policies
Services
About / Contact Us
Administration
Littman Architecture Library
This site will be removed in January 2019, please change your bookmarks.
This page will redirect to https://digitalcommons.njit.edu/theses/45/ in 5 seconds

The New Jersey Institute of Technology's
Electronic Theses & Dissertations Project

Title: Looping predictive method to improve accuracy of a machine learning model
Author: Pogili, Subramanyam Reddy
View Online: njit-etd2017-137
(xi, 67 pages ~ 6.7 MB pdf)
Department: Department of Computer Science
Degree: Master of Science
Program: Computer Science
Document Type: Thesis
Advisory Committee: Geller, James (Committee chair)
Chun, Soon Ae (Committee member)
Phan, Hai Nhat (Committee member)
Date: 2017-12
Keywords: Machine learning
Looping predictive method
Availability: Unrestricted
Abstract:

The topic of this project is an analysis of drug-related tweets. The goal is to build a Machine Learning Model that can distinguish between tweets that indicate drug abuse and other tweets that also contain the name of a drug but do not describe abuse. Drugs can be illegal, such as heroin, or legal drugs with a potential of abuse, such as painkillers. However, building a good Machine Learning Model requires a large amount of training data. For each training tweet, a human expert has determined whether it indicates drug abuse or not. This is difficult work for humans. In this project a new “Looping Predictive Method” was developed that allows generating large training datasets from a small seed set of tweets by repeatedly adding machine-labeled tweets to the human-labeled tweets. With this method, an accuracy improvement of 15.4% was achieved from an initial set of 1,075 tweets, by expanding the training set to 29,908 tweets.


If you have any questions please contact the ETD Team, libetd@njit.edu.

 
ETD Information
Digital Commons @ NJIT
Theses and DIssertations
ETD Policies & Procedures
ETD FAQ's
ETD home

Request a Scan
NDLTD

NJIT's ETD project was given an ACRL/NJ Technology Innovation Honorable Mention Award in spring 2003