January 2007
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524 Reads
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418 Citations
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Publications (2)
December 2006
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1,218 Reads
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2,123 Citations
Text mining tries to solve the crisis of information overload by combining techniques from data mining, machine learning, natural language processing, information retrieval, and knowledge management. In addition to providing an in-depth examination of core text mining and link detection algorithms and operations, this book examines advanced pre-processing techniques, knowledge representation considerations, and visualization approaches. Finally, it explores current real-world, mission-critical applications of text mining and link detection in such varied fields as M&A business intelligence, genomics research and counter-terrorism activities.
Citations (2)
... Moreover, large-scale, data-driven methods are underutilized for dynamic policy impact assessment. Text mining, a computational technique for extracting meaningful patterns from unstructured texts, has gained increasing attention in policy research [40]. Scholars have shown great interest in large-scale policy documents, including government policy texts, legal records, policy news and media data [41][42][43]. ...
- Citing Book
December 2006
... Text preprocessing merupakan serangkaian proses yang dilakukan pada teks mentah untuk membersihkannya dan membuatnya lebih mudah diproses oleh algoritma atau model pemrosesan bahasa alami. Proses ini mencakup data cleaning, tokenizing, feature selection, dan transformasi data [4]. Data cleaning melibatkan beberapa tahapan, yaitu: (a) mengubah semua huruf menjadi huruf kecil, (b) menghapus tanda baca, angka, dan karakter khusus yang tidak relevan, (c) menghapus stopwords, (d) Mengubah kata-kata menjadi bentuk dasar [5]. ...
- Citing Chapter
January 2007