helpfn
Need the content on my topic(topic - Emotion detection social media sentiment analysis AI/machine learning/deep learning techniques for classification) as you helped for the other person on topic Application of Business Intelligence in Financial Services (FinTech)(for reference attached the doc).
Need to use the reference articles from the attached one only
Must follow APA format and Grammarly check as well if any correction need based on teacher have to help on this
Length as mentioned in the other person helped topic length
topic area of the interest based on theory So, you need to include/select one theory which suitable for my topic - Technology acceptance model from the link you can find https://is.theorizeit.org/wiki/Main_Page based on the theory select the model like UTAUT model fig 1 https://www.frontiersin.org/articles/10.3389/fpsyg.2019.01652/full
Paper content as below sections
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Chapter 2 Formatting |
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Section |
Includes |
Number of Pages |
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Introduction |
Topic, problem, the purpose of the dissertation, and how Chapter 2 will be structured. |
First and second paragraphs |
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Search Strategy |
Explain research process used - search results for keywords and journal articles (filters used, publication dates, databases searched). |
1 to 2 paragraphs |
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Theory/Model/Variables |
Overview of theory/model being using and how it evolved. |
About 10 to 15 pages |
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Lit Review |
Theory/model/Variables “In Action”. All the literature on the how’s, when’s, and results of this theory/model. This is the foundation to use that model. |
About 20 to 30 pages |
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Testing |
Where is this being tested - Cybersecurity, Blockchain, Forensics, IT, the population, scholarly literature in this field. |
About 5 to 10 pages |
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Student’s Contribution |
Tying Theory/Model/Variables, Lit Review, and Testing together. What the student is contributing to the body of knowledge. |
5 pages |
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Conclusion |
Clear, concise summary of Chapter 2. |
1 to 2 pages |
Chapter 2 should be between 40 to 60 pages with at least 50 to 75 scholarly references, the majority being recent.