I’m ready to start my M-Tech dissertation and need a complete, end-to-end research package on hotel-review sentiment analysis. The study must begin with a concise literature survey of at least five peer-reviewed papers published over the past three years in IEEE, Springer or comparable journals. I expect a clear synthesis that pinpoints the research gap these papers leave open. Once the gap is documented, I’ll need a straightforward research objective built around it, followed by a practical dataset plan (publicly available, lightly pre-processed or newly scraped—whichever best suits the gap you identify). From there, design an appropriate model and fully describe the experimental methodology; simplicity and reproducibility are more important than pushing state-of-the-art boundaries. Key deliverables: • 2-3 page critical literature review highlighting the gap • Clear research question and hypothesis aligned to that gap • Dataset description or collection script with annotation guide • Model architecture choice with rationale (code in Python preferred) • Step-by-step methodology, evaluation metrics and expected outcome format • Draft thesis chapters in editable Word/LaTeX, ready for advisor feedback Acceptance criteria: the gap must be traceable back to the five selected papers, the dataset must be obtainable without paid licenses, and the baseline model must run end-to-end on a mid-range GPU or CPU within reasonable time. If you’re comfortable shaping the topic and producing replicable results, let’s get started right away.