A NEW MODEL ON AUTOMATIC TEXT SUMMARIZATION FOR TURKISH
نویسندگان
چکیده
The amount of data available in the electronic environment is increasing day by with development technology. It becomes tough and time consuming for users to access information they desire within this data. Automatic text summarization systems have been developed reach desired texts a shorter than that manual summarization. In paper, new extractive model proposed. proposed model, inclusion sentences given summary decided based on classification approach. Also, effectiveness widely used features automatic Turkish language evaluated using sequential feature selection methods. evaluations were carried out specifically categories economy, art, sports. experimental work justified performance method revealed how effective are.
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ژورنال
عنوان ژورنال: Eskis?ehir technical university journal of science and technology a- applied sciences and engineering
سال: 2021
ISSN: ['2667-4211']
DOI: https://doi.org/10.18038/estubtda.898446