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Social media content analysis: Natural language processing and beyond

Country : Singapore
Department : Singapore Management University
Project Title : Social media content analysis: Natural language processing and beyond
Researcher : WONG, Kam-Fai , GAO, Wei , XU, Ruifeng , LI, Wenjie
Keyword : Databases and Information Systems
Publisher : Institutional Knowledge at Singapore Management University
Year End : 2017
Identifier : https://ink.library.smu.edu.sg/sis_research/4609
Source : Research Collection School Of Information Systems
Abstract / Description :

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.

References

WONG, Kam-Fai and others / et al. (2017). Social media content analysis: Natural language processing and beyond.  Singapore: Singapore Management University.
WONG, Kam-Fai and others / et al. 2017. "Social media content analysis: Natural language processing and beyond".  Singapore: Singapore Management University.
WONG, Kam-Fai and others / et al. "Social media content analysis: Natural language processing and beyond."  Singapore: Singapore Management University, 2017. Print.
WONG, Kam-Fai and others / et al. Social media content analysis: Natural language processing and beyond. Singapore: Singapore Management University; 2017.

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