Results 271 to 280 of about 119,353 (308)
Some of the next articles are maybe not open access.
2020
<p>Structured datasets of loss data, i.e. data on the impact of past natural disasters, are of paramount importance for informing disaster preparedness programs and forecasting the impact of future disasters. Most of existing initiatives aim at manually building such datasets from information of goverments, humanitarian agencies ...
Jacopo Margutti, Marc van den Homberg
openaire +1 more source
<p>Structured datasets of loss data, i.e. data on the impact of past natural disasters, are of paramount importance for informing disaster preparedness programs and forecasting the impact of future disasters. Most of existing initiatives aim at manually building such datasets from information of goverments, humanitarian agencies ...
Jacopo Margutti, Marc van den Homberg
openaire +1 more source
Analyzing Text Data for Opinion Mining
2011Opinion mining has become a hot topic at the crossroads of information retrieval and computational linguistics. In this paper, we propose to study two key research problems of designing an opinion mining system, i.e., entity-related opinion detection problem and sentiment analysis problem.
openaire +1 more source
Text Preprocessing for Text Mining in Organizational Research: Review and Recommendations
Organizational Research Methods, 2022Louis Hickman +2 more
exaly
Text Mining: The New Data Mining Frontier
2014Data miners and analysts are used to dealing with data in structured fields, such as rows and columns. Data, such as age, income, purchase spending, and purchase dates, are typically found in specific columns or fields. Advances in data mining technology now allow analysis of unstructured text data.
openaire +1 more source
2010
This chapter investigates the problem of classifying text documents into two disjoint classes. It does so by employing a data mining approach based on the OCAT algorithm. This chapter is based on the work discussed in [ Nieto Sanchez, Triantaphyllou, and Kraft, 2002].
openaire +1 more source
This chapter investigates the problem of classifying text documents into two disjoint classes. It does so by employing a data mining approach based on the OCAT algorithm. This chapter is based on the work discussed in [ Nieto Sanchez, Triantaphyllou, and Kraft, 2002].
openaire +1 more source
The application of text mining in accounting
International Journal of Accounting Information Systems, 2023Rajendra Srivastava
exaly