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Homework answers / question archive / Emotion classification from short text based social media posts The wide usage of social media platform by users results in generating vast volumes of data

Emotion classification from short text based social media posts The wide usage of social media platform by users results in generating vast volumes of data

Computer Science

Emotion classification from short text based social media posts The wide usage of social media platform by users results in generating vast volumes of data. Such data contains information on many aspects of our lives. Emotion is usually easy to detect in a person face or voice, such being angry, sad, happy etc. However, that task of detecting emotion from short text is challenging. This project is to investigate the use of machine learning techniques and apply these in a prototype system to learn and classify emotion from short text published on Twitter, Facebook, or YouTube. I should use Machine learning (specifically deep learning), natural language processing, Keras framework, data analytics. Overview is in the attached document.

PROM4 Research Project Proposal

Assignment 1 This assignment contributes 35% to your final module mark.

 

The following learning outcomes will be assessed:

 

1.            Formulate research questions, aims and objectives appropriate to your area of interest

2.            Critically review, evaluate and apply research, technical and grey literature to your area of research

 

Important Information

 

You are required to submit your work within the bounds of the University Infringement of Assessment Regulations (see Programme Guide).  Plagiarism, paraphrasing and downloading large amounts of information from external sources, will not be tolerated, and will be dealt with severely.  Although you should make full use of any source material, which would normally be an occasional sentence and/or paragraph (referenced) followed by your own critical analysis/evaluation.  You will receive no marks for work that is not your own. Your work may be subject to checks for originality which can include use of an electronic plagiarism detection service.

 

Where you are asked to submit an individual piece of work, the work must be entirely your own.  The safety of your assessments is your responsibility.  You must not permit another student access to your work.

 

Where referencing is required, unless otherwise stated, the Harvard referencing system must be used (see your Programme Guide).

 

Please ensure that you retain a duplicate of your assignment.  We are required to send samples of student work to the external examiners for moderation purposes.  It will also safeguard in the unlikely event of your work going astray.

 

Submission Date and Time           As advised on Canvas

Submission Location       Via Canvas Submission Link

 

Your Task

 

Your task is to create and deliver a short, audio-visual presentation introducing your chosen project, outlining your research questions and the approach you intend to take to answer them. This presentation can be in the form of a video with voiceover, podcast, animation, recorded presentation, or any other suitable audio-visual presentation. 

 

As a guideline, your recording should last 3-5 minutes. It may be created using any suitable audio/video/screen recording software e.g., Review, Camstudio, PowerPoint (saved as Slide Show format), and submitted in a format that can be viewed on a Windows machine e.g. .mp4, .avi or .pptx.

 

Student Information

 

Throughout the module so far, you have been undertaking a series of small formative exercises to establish your choice of research project and identify your project aim, research question(s) and intended approach to research design. This assignment will demonstrate your progress so far, as a preliminary phase of working towards your detailed project proposal which will be completed for Assignment 2.

 

The list below contains suggested items to be covered in your presentation, however, all projects are individual, so you have flexibility to adapt these according to your chosen research project:

1.            Overview of your proposed research subject area and project introduction

What is the subject field of your proposed research and why is this of special interest? Why have you chosen this topic? How will it inform the practical deliverable aspect of your project?

2.            Research question and/or hypothesis

Details on the research question that will be the focus of your research and your hypothesis, if relevant.

3.            Intended Approach

What is your intended approach to answer the research question? How will it provide an answer to your question or hypothesis and how will you ensure it is effective?

4.            References

You should include an initial list of references (guideline 3-6 references), in Harvard format, that you have identified as preliminary reading to assist in the formation of your hypothesis, in preparation for your project proposal.

Submission Guidelines

Your presentation should be spell checked and contain references.  You must use the Harvard style of referencing, both for citations within the text and your reference list.  You should expect to include 3-6 references. 

It is important that you read thoroughly the information on the cover sheet regarding the university assessment regulations, including those regarding plagiarism and collusion.

Assignment hand-in requirements are specified on the front cover sheet.  The approximate time you should spend on this assignment is 15-25 hours.  Your assignment must be handed in before the time specified.

Your submission will be assessed according to the University’s Postgraduate Generic Assessment Criteria, which are provided on the following pages.

Marking Rubric

The marks breakdown is as follows:

Quality of presentation (appropriate audio-visual format and length)      (10 marks)

Overview of proposed research subject area and project introduction   (20 marks)

Research questions and hypothesis        (30 marks)

Intended approach         (30 marks)

Initial Reference List (3-6 references)     (10 marks)

 

Refer to marking scheme below:

                                                               

                                                                                               

                                                                                                 

 

 

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