News story analysis with credibility assessment by opinion mining
Sezerer, Erhan, author.

News story analysis with credibility assessment by opinion mining

Sezerer, Erhan, author.

Yazar Ek Girişi
Sezerer, Erhan, author.

Fiziksel Tanımlama
x, 38 leaves:+ 1 computer laser optical disc.

With the growing influence of media and the popularity and widespread use of social networks, credibility of the news sources became an important subject that needs more attention. The biggest problem of finding credible sources is, instead of giving every aspect of the incident, news sources tend to accept one of the parties’ idea as a whole while rejecting every other ideas, or even worse, they focus on only one side of the incident and ignoring the rest. Credibility is defined as “The quality of believable and trustworthy”. The notion of trustworthiness can further be decomposed into components like bias, fairness, factual/ opinionated, etc. In this thesis, credibility is measured using the fact/opinion ratio of the articles. Two methods, which are the traditional Naive Bayes method and the Relativistic method, are proposed. The intuition of relativistic method comes from the theory of relativity where the sentiment of the articles is determined relatively to the ordinary context used by people in daily speech. We have tested our methods on four different types of data, hand-written articles, editorials, New York Times articles and Reuters articles, and aimed to show that our proposed models are able to differentiate the sentiments in the articles. In the experimental work, we provided a detailed evaluation of the results.

Konu Başlığı
Data mining.

Yazar Ek Girişi
Tekir, Selma

Tüzel Kişi Ek Girişi
İzmir Institute of Technology. Computer Engineering.

Tek Biçim Eser Adı
Thesis (Master)--İzmir Institute of Technology: Computer Engineering.
İzmir Institute of Technology: Computer Engineering--Thesis (Master).

Elektronik Erişim
Access to Electronic Versiyon.

LibraryMateryal TürüDemirbaş NumarasıYer Numarası
IYTE LibraryTezT001389QA76.9.D343 S52 2015