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Chapter and Conference Paper
Exploring Combinations of Ontological Features and Keywords for Text Retrieval
Named entities have been considered and combined with keywords to enhance information retrieval performance. However, there is not yet a formal and complete model that takes into account entity names, classes,...
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Chapter
Ontology-Based Query Expansion with Latently Related Named Entities for Semantic Text Search
Traditional information retrieval systems represent documents and queries by keyword sets. However, the content of a document or a query is mainly defined by both keywords and named entities occurring in it. N...
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Chapter and Conference Paper
Designing and Implementing Data Warehouse for Agricultural Big Data
In recent years, precision agriculture that uses modern information and communication technologies is becoming very popular. Raw and semi-processed agricultural data are usually collected through various sourc...
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Chapter and Conference Paper
Sentiment Analysis for Vietnamese – Based Hybrid Deep Learning Models
Sentiment analysis of public opinion expressed in social networks has been developed into various applications, especially in English. Hybrid approaches are potential models for reducing sentiment errors on in...