Data mining is a mature technology. The prediction problem, looking for predictive patterns in data, has been widely studied. Strong me- ods are available to the practitioner. These methods process structured numerical information, where uniform measurements are taken over a sample of data. Text is often described as unstructured information. So, it would seem, text and numerical data are different, requiring different methods. Or are they? In our view, a prediction problem can be solved by the same methods, whether the data are structured - merical measurements or unstructured text. Text and documents can be transformed into measured values, such as the presence or absence of words, and the same methods that have proven successful for pred- tive data mining can be applied to text. Yet, there are key differences. Evaluation techniques must be adapted to the chronological order of publication and to alternative measures of error. Because the data are documents, more specialized analytical methods may be preferred for text. Moreover, the methods must be modi?ed to accommodate very high dimensions: tens of thousands of words and documents. Still, the central themes are similar.
Data mining is a mature technology. The prediction problem, looking for predictive patterns in data, has been widely studied. Strong me- ods are available to the practitioner. These methods process structured numerical information, where uniform measurements are taken over a sample of data. Text is often described as unstructured information. So, it would seem, text and numerical data are different, requiring different methods. Or are they? In our view, a prediction problem can be solved by the same methods, whether the data are structured - merical measurements or unstructured text. Text and documents can be transformed into measured values, such as the presence or absence of words, and the same methods that have proven successful for pred- tive data mining can be applied to text. Yet, there are key differences. Evaluation techniques must be adapted to the chronological order of publication and to alternative measures of error. Because the data are documents, more specialized analytical methods may be preferred for text. Moreover, the methods must be modi?ed to accommodate very high dimensions: tens of thousands of words and documents. Still, the central themes are similar.
Fred Rogers's gentle spirit and passion for children's television takes center stage in this collection of interviews spanning his nearly forty-year career Nearly twenty years after his death, Fred Rogers remains a source of comfort and fond memories for generations who grew up watching Mister Rogers' Neighborhood. Over the course of his career, Rogers revolutionized children's television and changed the way experts thought about the educational power of media. But perhaps his most lasting legacy was demonstrating the power of simply being nice to other people. In this collection of interviews, including his fiery (for him) 1969 senate testimony that saved PBS and his final interview with Diane Rehm, Rogers's gentle spirit and compassionate approach to life continues to be an inspiration. An introduction by David Bianculli provides brilliantly contextualizes the interviews and offers a contemporary reading of Rogers's storied career.
Fred Rogers's gentle spirit and passion for children's television takes center stage in this collection of interviews spanning his nearly forty-year career Nearly twenty years after his death, Fred Rogers remains a source of comfort and fond memories for generations who grew up watching Mister Rogers' Neighborhood. Over the course of his career, Rogers revolutionized children's television and changed the way experts thought about the educational power of media. But perhaps his most lasting legacy was demonstrating the power of simply being nice to other people. In this collection of interviews, including his fiery (for him) 1969 senate testimony that saved PBS and his final interview with Diane Rehm, Rogers's gentle spirit and compassionate approach to life continues to be an inspiration. An introduction by David Bianculli provides brilliantly contextualizes the interviews and offers a contemporary reading of Rogers's storied career.
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