Social media content analysis: Natural language processing and beyond

Publication Type

Book Chapter

Publication Date

2-2017

Abstract

Cross-language mining is a task of text mining dealing with the extraction of entities and their counterparts expressed in different languages. The interested entities may be of various granularities from acronyms, synonyms, cognates, proper names to comparable or parallel corpora. Cross-Language Information Retrieval (CLIR) is a sub-field of information retrieval dealing with the retrieval of documents across language boundaries, i.e., the language of the retrieved documents is not the same as the language of the queries. Cross-language mining usually acts as an effective means to improve the performance of CLIR by complementing the translation resources exploited by CLIR systems.

Discipline

Databases and Information Systems

Research Areas

Data Science and Engineering

Publication

Series on language processing, pattern recognition, and intelligent systems

Volume

3

Editor

Ching Y Suen; Lu Qin

ISBN

9789813223608

Identifier

10.1142/10535

Publisher

World Scientific Publishing

Additional URL

https://doi.org/10.1142/10535

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