Fixing and evaluating texts: Mixed text reconstruction method for data fusion environments

Author

Sanchez Martin, Antonio Juan ; de la Prieta Pintado, Fernando ; De Gasperis, Giovanni

Author_Institution

Dept. of Comput. Sci., Univ. of Salamanca, Salamanca, Spain

fYear

2014

fDate

7-10 July 2014

Firstpage

1

Lastpage

6

Abstract

This paper presents a method for the reconstruction of malformed texts into Spanish, these texts can be found regularly in social media environments. Also a method of sentiment analysis based on analysis of pairs will be presented. This sentiment analysis method includes intensifiers and applies the same procedures for analyse words, phrases and paragraphs. The method is centred on Spanish but the solutions proposed can be extended to any language.

Keywords

data mining; natural language processing; sensor fusion; text analysis; Spanish language; data fusion environments; fixing text algorithm; intensifiers; malformed texts reconstruction; mixed text reconstruction method; opinion mining; paragraphs; phrases; sentiment analysis; social media environments; words; Context; Dictionaries; Proposals; Semantics; Sentiment analysis; Social network services; Standards; fixing text algorithm; language recognition; opinion mining; sentiment analysis; text analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Fusion (FUSION), 2014 17th International Conference on

Conference_Location

Salamanca

Type

conf

Filename

6916278