16 research outputs found
SRD820418_Supplemental_Material_CLN – Supplemental material for Winning Models for Grade Point Average, Grit, and Layoff in the Fragile Families Challenge
Supplemental material, SRD820418_Supplemental_Material_CLN for Winning Models for Grade Point Average, Grit, and Layoff in the Fragile Families Challenge by Daniel E. Rigobon, Eaman Jahani, Yoshihiko Suhara, Khaled AlGhoneim, Abdulaziz Alghunaim, Alex “Sandy” Pentland and Abdullah Almaatouq in Socius</p
SRD-17-0116 – Supplemental material for Winning Models for Grade Point Average, Grit, and Layoff in the Fragile Families Challenge
Supplemental material, SRD-17-0116 for Winning Models for Grade Point Average, Grit, and Layoff in the Fragile Families Challenge by Daniel E. Rigobon, Eaman Jahani, Yoshihiko Suhara, Khaled AlGhoneim, Abdulaziz Alghunaim, Alex “Sandy” Pentland and Abdullah Almaatouq in Socius</p
Immobilization of Poly(N-Isopropylacrylamide) on Hydroxylated Surfaces Using Cross-linked Organosilane Networks
Optimization and spectroscopic studies on carbon nanotubes/PVA nanocomposites
AbstractNanocomposite films of polyvinyl alcohol (PVA) containing constant ratio of both single and multi-wall carbon nanotubes had been obtained by dispersion techniques and were investigated by different techniques. The infrared spectrum confirmed that SWNTs and MWNTs have been covalently related OH and CC bonds within PVA. The X-ray diffraction indicated lower crystallinity after the addition of carbon nanotubes (CNTs) due to interaction between CNTs and PVA. Transmission electron microscope (TEM) illustrated that SWNTs and MWNTs have been dispersed into PVA polymeric matrix and it wrapped with PVA. The properties of PVA were enhanced by the presence of CNTs. TEM images show uniform distribution of CNTs within PVA and a few broken revealing that CNTs broke aside as opposed to being pulled out from fracture surface which suggests an interfacial bonding between CNTs and PVA. Maximum value of AC conductivity was recorded at higher frequencies. The behavior of both dielectric constant (ɛ′) and dielectric loss (ɛ″) were decreased when frequency increased related to dipole direction within PVA films to orient toward the applied field. At higher frequencies, the decreasing trend seems nearly stable as compared with lower frequencies related to difficulty of dipole rotation
A vector space approach for aspect-based sentiment analysis
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Cataloged from student-submitted PDF version of thesis.Includes bibliographical references (pages 75-82).Vector representations for language have been shown to be useful in a number of Natural Language Processing (NLP) tasks. In this thesis, we aim to investigate the effectiveness of word vector representations for the research problem of Aspect-Based Sentiment Analysis (ABSA), which attempts to capture both semantic and sentiment information encoded in user generated content such as product reviews. In particular, we target three ABSA sub-tasks: aspect term extraction, aspect category detection, and aspect sentiment prediction. We investigate the effectiveness of vector representations over different text data, and evaluate the quality of domain-dependent vectors. We utilize vector representations to compute various vector-based features and conduct extensive experiments to demonstrate their eectiveness. Using simple vector-based features, we achieve F1 scores of 79.9% for aspect term extraction, 86.7% for category detection, and 72.3% for aspect sentiment prediction.by Abdulaziz Alghunaim.M. Eng
