Sentiment-based text segmentation

Author

Chiru, Costin-Gabriel ; Hadgu, Asmelash Teka

Author_Institution

Dept. of Comput. Sci. & Eng., Politeh. Univ. of Bucharest, Bucharest, Romania

fYear

2013

fDate

26-27 Aug. 2013

Firstpage

234

Lastpage

239

Abstract

In this paper, we present a text segmentation system based on the sentiments expressed in the text. The system takes as input plain text (product review for instance) and uses two different resources for tagging the sentiment words: a sentiment words dictionary and SentiWordNet. Once the sentiment words are identified, the initial text is annotated with segmentation markers when polarity shifts. The system also outputs the counts of positive and negative sentiment words found in text and optionally annotates them with their valence.

Keywords

dictionaries; information retrieval; social networking (online); text analysis; word processing; SentiWordNet; negative sentiment words; plain text; polarity shifts; positive sentiment words; segmentation markers; sentiment word dictionary; sentiment word identification; sentiment word tagging; sentiment-based text segmentation; text annotation; Batteries; Dictionaries; Digital cameras; Feature extraction; Tagging; Warranties; Parsing; Products Evaluation Based on Social Media; Sentiments Analysis; Tagging; Text Segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems and Computer Science (ICSCS), 2013 2nd International Conference on

Conference_Location

Villeneuve d´Ascq

Print_ISBN

978-1-4799-2020-4

Type

conf

DOI

10.1109/IcConSCS.2013.6632053

Filename

6632053