Extended correlated principal component analysis with SVM-PUK in opinion   mining

Kollimarla Anusha DEVI; Deepak Chowdary EDARA; Venkatrama Phani Kumar SISTLA; Venkata Krishna Kishore KOLLI

Makale detayları

Extended correlated principal component analysis with SVM-PUK in opinion mining

Yazarlar:

Kollimarla Anusha DEVI | Deepak Chowdary EDARA | Venkatrama Phani Kumar SISTLA | Venkata Krishna Kishore KOLLI

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2018 Vol.26 Issue 5, pp.2570-2582

Belge Tipi:

Makale

Yayın Tarihi:

9/2018

Belge Dili:

Türkçe

Document ID (Org No.):

2000734797

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632

Özet:

 

With the rapid growth of microblogs and online sites, an inordinate number   of product reviews are available on the Internet. They not only help in   analyzing, but also assist in making informed decisions about product   quality. In the proposed work, an extended correlated principal component   analysis (ECPCA) is used for dimensionality reduction. A comparative   analysis is conducted on movie reviews (DB-1) and Twitter datasets (DB-2 and   DB-3) in opinion mining extraction. The performance of naive Bayes,   CHIRP, and support vector machine (SVM) with kernel methods such as radial   basis function (RBF), polynomial, and Pearson (PUK) are compared and   analyzed on the three datasets. The experimental results using ECPCA for   selecting relevant features and SVM-PUK as a classifier exhibit better   performance on movie reviews and Twitter datasets. The performance of the   proposed approach is 99.69 %, 99.4 %, and 99.54 % on the DB-1, DB-2,   and DB-3 datasets, respectively, and comparatively outperforms the existing   methods.

Makale detayları

Extended correlated principal component analysis with SVM-PUK in opinion mining

Yazarlar: Kollimarla Anusha DEVI | Deepak Chowdary EDARA | Venkatrama Phani Kumar SISTLA | Venkata Krishna Kishore KOLLI

Yayıncı: TUBITAK

Dergi: Turkish Journal of Electrical Engineering and Computer Science 2018 Vol.26 Issue 5, pp.2570-2582

Belge Tipi: Makale

Yayın Tarihi: 9/2018

Belge Dili: Türkçe

Document ID (Org No.): 2000734797

Sıklık: İki Aylık

eISSN: 1303-6203

pISSN: 1300-0632

Sayı

Yazarlar:

Kollimarla Anusha DEVI | Deepak Chowdary EDARA | Venkatrama Phani Kumar SISTLA | Venkata Krishna Kishore KOLLI

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2018 Vol.26 Issue 5, pp.2570-2582

Belge Tipi:

Makale

Yayın Tarihi:

9/2018

Belge Dili:

Türkçe

Document ID (Org No.):

2000734797

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632