CJ201 Week 8 Reading Future of Policing

Humanities

We will be discussing the future of policing. Are we headed in the right direction in handling the multiple issues of community policing, the war on terror, and homeland security? Can we leverage technology to effectively manage the mission and duties of police officers?

3 Pages Report

Writing

My topic is : The Way Technology Effect In Student Anxiety

3 pages report

Report Structure: The structure of your report is as follows:

Memo of transmittal

Cover page

Executive Summary

Table of Contents

Report Body

Appendices

Please check the attached files

I attached one Example

LM001: Leadership Frameworks and Theories

Business Finance

Learning Objective 2.1: Describe how leadership can play a key role in shaping values for affecting positive social change and creating value for organizational performance.: Additional Comments: Only 1 example was provided. A 2nd example is needed.

Learning Objective 2.2: Describe the role leaders can play within the organization to narrow any gap between espoused and lived organizational values.: Additional Comments: Only 1 example was provided. A 2nd example is needed.

Learning Objective 5.1: Explain which leadership styles would best fit in a specific business context.: Additional Comments: Vignette 5 was not addressed.


You can find file “LM001” this is my answer, I have highlighted by yellow the questions that should be answered, and by red highlighter what is needed only. So you can add it on the same file.

Text Mining and Sentimental Analysis

Other

Find a readily available sentiment text data set (see Technology Insights 7.2 (page 329) in your textbook(attached document) for a list of popular data sets) and download it into your computer. If you have an analytics tool that is capable of text mining, use that; if not, download RapidMiner (rapid-i.com) and install it. Also install the text analytics add-on for RapidMiner. Process the downloaded data using your text mining tool (i.e., convert the data into a structured form). Build models and assess the sentiment detection accuracy of several classification models (e.g., support vector machines, decision trees, neural networks, logistic regression, etc.). Write a detailed report where you can explain your findings and your experiences.