Thomas Nolan – författare
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Policing and police practices have changed dramatically since the 9/11 terrorist attacks and those changes have accelerated since the summer of 2014 and the death of Michael Brown at the hands of then-police officer Darren Wilson in Ferguson, Missouri. Since the November 2016 election of Donald Trump as president, many law enforcement practitioners, policy makers, and those concerned with issues of social justice have had concerns that there would be seismic shifts in policing priorities and practices at the federal, state, county, and local and tribal levels that will have significant implications for constitutional rights and civil liberties protections, particularly for people of color. Perilous Policing: Criminal Justice in Marginalized Communities provides a much-needed interrogatory to law enforcement practices and policies as they continue to evolve during this era of uncertainty and anxiety. Key topics include the police and marginalized populations, the use of technology to surveil individuals and groups, the emergence of the Black Lives Matter movement and the erosion of the police narrative, the use of force (particularly deadly force) against people of color, the role of the police in immigration enforcement, the "war on cops," and police militarization.
Thomas Nolan’s critique of current practice and his preliminary conclusions as to how to navigate contemporary policing away from the pitfalls of discredited and counterproductive practices will be of interest to advanced undergraduates and graduate students in Policing, Criminology, Justice Studies, and Criminal Justice programs, as well as to researchers, law enforcement professionals, and police policy makers.
1 036 kr
Läs direkt efter köp
Policing and police practices have changed dramatically since the 9/11 terrorist attacks and those changes have accelerated since the summer of 2014 and the death of Michael Brown at the hands of then-police officer Darren Wilson in Ferguson, Missouri. Since the November 2016 election of Donald Trump as president, many law enforcement practitioners, policy makers, and those concerned with issues of social justice have had concerns that there would be seismic shifts in policing priorities and practices at the federal, state, county, and local and tribal levels that will have significant implications for constitutional rights and civil liberties protections, particularly for people of color. Perilous Policing: Criminal Justice in Marginalized Communities provides a much-needed interrogatory to law enforcement practices and policies as they continue to evolve during this era of uncertainty and anxiety. Key topics include the police and marginalized populations, the use of technology to surveil individuals and groups, the emergence of the Black Lives Matter movement and the erosion of the police narrative, the use of force (particularly deadly force) against people of color, the role of the police in immigration enforcement, the "war on cops," and police militarization.
Thomas Nolan’s critique of current practice and his preliminary conclusions as to how to navigate contemporary policing away from the pitfalls of discredited and counterproductive practices will be of interest to advanced undergraduates and graduate students in Policing, Criminology, Justice Studies, and Criminal Justice programs, as well as to researchers, law enforcement professionals, and police policy makers.
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Practical Text Analytics
Maximizing the Value of Text Data
652 kr
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Practical Text Analytics
Maximizing the Value of Text Data
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This book introduces text analytics as a valuable method for deriving insights from text data. Unlike other text analytics publications, Practical Text Analytics: Maximizing the Value of Text Data makes technical concepts accessible to those without extensive experience in the field. Using text analytics, organizations can derive insights from content such as emails, documents, and social media.
Practical Text Analytics is divided into five parts. The first part introduces text analytics, discusses the relationship with content analysis, and provides a general overview of text mining methodology. In the second part, the authors discuss the practice of text analytics, including data preparation and the overall planning process. The third part covers text analytics techniques such as cluster analysis, topic models, and machine learning. In the fourth part of the book, readers learn about techniques used to communicate insights from text analysis, including data storytelling. The final part of Practical Text Analytics offers examples of the application of software programs for text analytics, enabling readers to mine their own text data to uncover information.