Analysis of sentiment on newspaper quotations: A preliminary experiment

Author

Padmaja, S. ; Fatima, S. Sameen ; Bandu, Sasidhar

Author_Institution

Dept. of CSE, Osmania Univ., Hyderabad, India

fYear

2013

fDate

4-6 July 2013

Firstpage

1

Lastpage

5

Abstract

Most Opinion Mining work has been carried out on highly subjective text types where the target is clearly defined and unique across the text like movie or product reviews. However, when applying Opinion Mining to the news domain, it is necessary to clearly define the essence of the task, in a more precise manner than it has been done in the field so far. The main tasks that have been implemented in this paper are: identifying a target, creating three different datasets of quotations (reported speech), pertaining to the identified target, from three different dailies, separation of good and bad news content from the good and bad emotions expressed on the target and comparing the results with manual work.

Keywords

data mining; text analysis; bad news; good news; newspaper quotations; opinion mining; sentiment analysos; text types; Consumer electronics; Data mining; Educational institutions; Media; Monitoring; Object recognition; Speech; News Analysis; Opinion Mining; Reported Speech; Sentiment Analysis; Text Mining;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing, Communications and Networking Technologies (ICCCNT),2013 Fourth International Conference on

Conference_Location

Tiruchengode

Print_ISBN

978-1-4799-3925-1

Type

conf

DOI

10.1109/ICCCNT.2013.6726650

Filename

6726650