The information contained in the sub-datasets built in the previous step is text-mined in order to extract the key concepts therein and term vectors are built for each time interval, which will allow us to conduct a comparative analysis across time.</p
This poster shows that methods imported from timeseries analysis could benefit the use of content an...
<p>In the first step, the document is splitted into shorter pieces of equal length. For each subtext...
<p>Enrichment analysis for the genes specifically expressed in six development time points. X-axis i...
Diagram showing the process followed from the document-term matrices obtained by text mining to the ...
We propose an approach to analyzing data in which texts are associated with spatial and temporal ref...
Word embedding techniques can be used to learn vector representations of concepts from temporal data...
An important goal of knowledge discovery is the search for patterns in data that can help explain th...
<p>Building the Classification Model (A) and Obtainment of the Time Spent Performing Activities (B)....
<p>This figure illustrates how each dataset was transformed from the raw data to the processed data ...
A multi-disciplinary approach integrating computational linguistic techniques is necessary to elabor...
This research proposes and evaluates a linguistically motivated approach to extracting temporal stru...
Movement data link together space, time, and objects positioned in space and time. They hold valuabl...
This paper addresses text categorization problem that training data may derive from a different time...
International audienceWe present a system for mapping the structure of research topics in a corpus. ...
Time series represent sequences of data points where usually their order is defined by the time when...
This poster shows that methods imported from timeseries analysis could benefit the use of content an...
<p>In the first step, the document is splitted into shorter pieces of equal length. For each subtext...
<p>Enrichment analysis for the genes specifically expressed in six development time points. X-axis i...
Diagram showing the process followed from the document-term matrices obtained by text mining to the ...
We propose an approach to analyzing data in which texts are associated with spatial and temporal ref...
Word embedding techniques can be used to learn vector representations of concepts from temporal data...
An important goal of knowledge discovery is the search for patterns in data that can help explain th...
<p>Building the Classification Model (A) and Obtainment of the Time Spent Performing Activities (B)....
<p>This figure illustrates how each dataset was transformed from the raw data to the processed data ...
A multi-disciplinary approach integrating computational linguistic techniques is necessary to elabor...
This research proposes and evaluates a linguistically motivated approach to extracting temporal stru...
Movement data link together space, time, and objects positioned in space and time. They hold valuabl...
This paper addresses text categorization problem that training data may derive from a different time...
International audienceWe present a system for mapping the structure of research topics in a corpus. ...
Time series represent sequences of data points where usually their order is defined by the time when...
This poster shows that methods imported from timeseries analysis could benefit the use of content an...
<p>In the first step, the document is splitted into shorter pieces of equal length. For each subtext...
<p>Enrichment analysis for the genes specifically expressed in six development time points. X-axis i...
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