Normalization and Automatized Sentiment Analysis of Contemporary Online Latvian Language

被引：3

作者：

Garkaje, Ginta ^{[1
]}

Zilgalve, Evelina ^{[1
]}

Dargis, Roberts ^{[1
]}

机构：

[1] Univ Latvia, Inst Math & Comp Sci, Riga, Latvia

来源：

HUMAN LANGUAGE TECHNOLOGIES - THE BALTIC PERSPECTIVE, BALTIC HLT 2014 | 2014年 / 268卷

关键词：

Online language; Transliteration; Normalization; Sentiment analysis;

D O I：

10.3233/978-1-61499-442-8-83

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We describe contemporary language transliteration influence on automatized sentiment analysis. We state that the text normalization helps to achieve better results in automatized sentiment analysis and provide results to support the claim. Data used for the experiments are gathered via project Virtual Aggression Barometer. We use a normalization tool and an automatized classifier for the internet user comments with aggressive and non-aggressive sentiment.

引用

页码：83 / 86

页数：4