Due Date: Friday of Week 13 THE PROJECT IS TO BE DONE USING R STUDIO 1 Aim 2 Method 3 Group Size and Organisation 4 Due date and Submission 5 Report Format 6 Marks 7 Declaration 8 Project Description 1 Aim The Group Project provides us with a chance to analyse the Social Web using the knowledge obtained from this unit with assistance from a computer based statistical package. For this project, we will focus on identifying a chosen companies Twitter image. 2 Method To complete this project: Read through this specification Form a group and register your group in the vUWS 300958 Project section. Choose a company that is active on Twitter and send Laurence an email with subject "[300958 Project Company] Group: x; Company: y", where x is your group number and y is your wanted wanted company Twitter handle. (e.g. if group 12 were choosing Telstra, the email subject would be "[300958 Project Company] Group: 12; Company: Telstra"). Laurence will reply to let you know if the company is acceptable. Note that a given company cannot be allocated to more than one group. Complete the data analysis required by the specification Write up your analysis using your favourite word processing/typesetting program, making sure that all of the working is shown and that is it presented well. Include the student declaration text on the front page of your report. Please make sure that the names and student numbers of each group member are clearly displayed on the front page. Submit the report as a PDF by the due date. 3 Group Size and Organisation Students in groups of size 1, 2, 3 or 4 are to work together to complete this project. One project report is to be submitted per group. The group must be formed by signing-up to a group within the Project section of 300958 in vUWS. It is not compulsory for all students in a group to be from the same lab class, but it is generally a good idea. Groups must be formed by the end of week 9. Once the group is formed, A 'manager' should be nominated from within the group to be responsible for submitting the report. 4 Due date and Submission The project report is due in by 11:59 p.m. on the Friday of week 13. The report must be submitted as a PDF file using the assignment submission facilities in the Project section of 300958 in vUWS. Only one student from each group (the manager) needs to submit the assignment. 5 Report Format Once the required analysis is performed by the group, the members of the group are to write up the analysis as a report. Remember that the assessor will only see the groups report and will be marking the group's analysis based on your report. Therefore the report should contain a clear and concise description of the procedures carried out, the analysis of results and any conclusions reached from the analysis. The required analysis in this specification covers the material presented in lectures and labs. Students should use the computer software R to carry out the required analysis and then present the results from the analysis in the report. 6 Marks This project is worth 30% of your final grade, and so the project will be marked out of 30. The project consists of four investigations and will be marked using the following criteria: Marks Criteria Satisfied 0-5 One of the project parts have been completed correctly. 6-10 Two of the project parts have been completed correctly. 11-15 Three of the project parts have been completed correctly. 16-20 The required work has been completed correctly. 21-25 The required work has been completed correctly and the company questions have been answered based on the results. 26-30 The required work has been completed correctly and the company questions have been answered based on the results of multiple investigations. If a report is submitted late, the maximum mark it can achieve will be reduced by 10% (3 marks) per day. E.g., if a report is submitted five days late, it can receive at most 15 marks. 7 Declaration The following declaration must be included in a clearly visible and readable place on the first page of the report. By including this statement, we the authors of this work, verify that: We hold a copy of this assignment that we can produce if the original is lost or damaged. We hereby certify that no part of this assignment/product has been copied from any other student's work or from any other source except where due acknowledgement is made in the assignment. No part of this assignment/product has been written/produced for us by another person except where such collaboration has been authorised by the subject lecturer/tutor concerned. We are aware that this work may be reproduced and submitted to plagiarism detection software programs for the purpose of detecting possible plagiarism (which may retain a copy on its database for future plagiarism checking). We hereby certify that we have read and understand what the School of Computing and Mathematics defines as minor and substantial breaches of misconduct as outlined in the learning guide for this unit. Note: An examiner or lecturer/tutor has the right not to mark this project report if the above declaration has not been added to the cover of the report. 8 Project Description A company is investigating its public image and has approached your team to identify what the public associated with the company name. The company want to obtain an understanding of the general Twitter community sentiment. Obtain a random sample of tweets (at least 1000) and report the most representative words of the sample. What do these words say about the Twitter community? The company wants to identify specifically what the Twitter community is saying about the company. Identify words that the Twitter public associate to the company (have the greatest increase in proportion when compared to the random sample). The company has questioned whether the tweets coming from the Twitter community are different from the tweets from within the company. Obtain a set of tweets from the companies timeline, combine them with the random sample and the public tweets (from parts 1 and 2) and cluster the set. Identify if the clusters show that the company tweets are different from the public tweets. When presenting these results to the committee, you have been asked to identify any problems with the analytical process used in each part and how these problems could be corrected. In this section, do not explain difficulties in writing code or getting programs to run. Explain how the methods used could lead to misleading results (e.g. was random sampling used when obtaining the tweets?). The company want the above analysis to be written up in a professional report. Each part should have its own section of the report and all questions should have thoughtful answers. Any code that is used should be included and clearly explained (include comments in the code)