1. Introduction to bringing structure to text 2. Mining phrase-based and entity-enriched topical hierarchies 3. Heterogeneous information network construction and mining 4. Trends and research problem
International audienceThis paper examines further a research hypothesis that syntactic variations ar...
A sentence is an integral unit of semantic nature, context and significance. Visualizing sentences f...
As Topic Modeling has been applied in increasingly various domains, the difficulty in naming and cha...
One of the major challenges of mining topics from a large corpus is the quality of the constructed t...
The “big data” era is characterized by an explosion of information in the form of digital data colle...
A lot of digital ink has been spilled on "big data" over the past few years, which is often characte...
Real-world physical objects and abstract data entities are interconnected, forming gigantic networks...
Information networks with multi-typed nodes and edges with different semantics are called heterogeno...
The “big data ” era is characterized by an explosion of infor-mation in the form of digital data col...
Diagram showing the process followed from the document-term matrices obtained by text mining to the ...
The interconnected nature of knowledge together with complex interactions among informationagents ha...
The recent Web panorama reveals a tangible proliferation of “social” data, in form of posts, opinion...
News data is one of the most abundant and familiar data sources. News data can be systematically uti...
According to Freud “words were originally magic and to this day words have retained much of their an...
Abstract. The paper presents a new methodology for mining heterogeneous information networks, motiva...
International audienceThis paper examines further a research hypothesis that syntactic variations ar...
A sentence is an integral unit of semantic nature, context and significance. Visualizing sentences f...
As Topic Modeling has been applied in increasingly various domains, the difficulty in naming and cha...
One of the major challenges of mining topics from a large corpus is the quality of the constructed t...
The “big data” era is characterized by an explosion of information in the form of digital data colle...
A lot of digital ink has been spilled on "big data" over the past few years, which is often characte...
Real-world physical objects and abstract data entities are interconnected, forming gigantic networks...
Information networks with multi-typed nodes and edges with different semantics are called heterogeno...
The “big data ” era is characterized by an explosion of infor-mation in the form of digital data col...
Diagram showing the process followed from the document-term matrices obtained by text mining to the ...
The interconnected nature of knowledge together with complex interactions among informationagents ha...
The recent Web panorama reveals a tangible proliferation of “social” data, in form of posts, opinion...
News data is one of the most abundant and familiar data sources. News data can be systematically uti...
According to Freud “words were originally magic and to this day words have retained much of their an...
Abstract. The paper presents a new methodology for mining heterogeneous information networks, motiva...
International audienceThis paper examines further a research hypothesis that syntactic variations ar...
A sentence is an integral unit of semantic nature, context and significance. Visualizing sentences f...
As Topic Modeling has been applied in increasingly various domains, the difficulty in naming and cha...