Hotel Review Sentiment Thesis Help

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@raminde

Have over 18 years of experience in data mining/ Web scrapping/ Scraping Bots/ Chrome/Opera Extensions I have done it all. Tell us your source and we will put it in excel for you, Or we can even give you filtered results as per your requirement, In the format you want. You can also ask for data into a particular format - Excel, Json, Mysql, Databases, XMLs, you name them. Further Can help you with integrating it with ur databases, Can create json outputs. We are not only good with scraping but also with the tools that u may need after that. We can help you build you softwares round the data we have 99% Data Accuracy. We have Duplicate finder. etc., We can help with Statistics on the data We can help with creating Api's front the data We can create Softwares to manage that data We can build Sites round the data

@divyam12345

Dear, I have strong experience in NLP and sentiment analysis projects, including large-scale text collection, preprocessing, model development, and thesis-level reporting. I’m confident I can guide you through the entire pipeline—from building a reproducible data-gathering workflow and developing high-accuracy models to producing GTU-compliant results, figures, and well-documented code you can defend confidently. Let’s connect in the chatbox to discuss your exact requirements, timeline, and preferred tools. You may check my published works in my profile, and I’ll gladly share relevant project samples and a step-by-step plan for your MTech thesis during our discussion.

@akkiwadhwa1995

I understand you need an NLP partner for your MTech thesis on hotel review sentiment analysis, covering the full research pipeline from data collection to thesis-ready results. My expertise in web scraping (50k+ reviews), text cleaning, sentiment modeling (keyword, ML/DL with Python - NLTK, scikit-learn, TensorFlow/PyTorch), and data visualization aligns perfectly with your requirements. I'm confident in achieving an F1 score of 0.80+ and delivering well-commented code, cleaned datasets, and chapter drafts compliant with GTU format. I have extensive experience guiding similar projects to successful completion, ensuring you can reproduce all results. I'm ready to start immediately to meet your tight timeline, with the first data pull within a week and experimental results in six weeks. To ensure the best outcome: 1. Are there specific hotel chains or geographic regions you'd like to prioritize for review collection? 2. Do you have a preferred sentiment granularity (e.g., positive/negative, or multi-class like excellent/good/neutral/poor/terrible)? 3. What is the exact GTU thesis formatting guideline document you can share?

@growwithgdp

✅ Build reproducible, legally compliant review dataset pipeline (50,000+ records) with clean documentation. ✅ Perform preprocessing, labeling, EDA, and aspect-based sentiment exploration. ✅ Develop baseline (TF-IDF + ML) and advanced models (LSTM/BERT) targeting F1 ≥ 0.80. ✅ Generate thesis-ready visuals, tables, and GTU-formatted chapters. ✅ Deliver notebooks, dataset, trained models, and defense walkthrough within timeline.

@ishita2812

I am pleased to submit my proposal for providing freelance support for the Hotel Review Sentiment Analysis thesis project. With over two years of experience in research and data analysis, I have worked extensively on text mining, natural language processing (NLP), and sentiment classification projects using real-world datasets. I have hands-on experience in collecting and cleaning large volumes of online review data, performing exploratory data analysis, and applying machine learning algorithms such as Naïve Bayes, Logistic Regression, and Support Vector Machines for sentiment prediction. Additionally, I have contributed to drafting research papers, interpreting analytical results, and presenting findings in a structured academic format. My strong analytical skills, familiarity with tools such as Python, R, and data visualization libraries, and commitment to research accuracy position me to provide effective, timely, and high-quality support for the successful completion of this thesis project.

@Annukaushik26

Hello ?, I’ve carefully reviewed your project, and I’m confident I can deliver exactly what you’re looking for—on time and with high quality. ? Why choose me? ✅ Strong experience in web/app development & modern UI ✅ Clean, scalable, and well-documented work ✅ Fast communication & regular progress updates ✅ 100% focus on your project until completion ? What I will deliver: ? Fully functional and optimized solution ? User-friendly design with smooth performance ? Cross-device compatibility (mobile, tablet, desktop) ? Post-delivery support & revisions if needed I don’t just complete tasks—I solve problems and add value. My goal is to help you achieve the best possible outcome with minimal hassle. ? Let’s discuss your requirements in detail and get started right away. I’m ready to begin as soon as you are!

@FCS2017

Hello, I’d be glad to support your GTU MTech thesis on hotel review sentiment analysis and help you through the full NLP pipeline from data collection to thesis ready results. I can: ✅ Build a reproducible, policy-compliant scraping/API workflow to collect a large review corpus (50k+ where feasible) ✅Clean, label, and explore the dataset to extract strong sentiment signals (service, amenities, satisfaction, etc.) ✅Develop baseline + advanced ML/DL models in Python (NLTK, scikit learn, TensorFlow/PyTorch) targeting F1 ≥ 0.80 ✅Create clear visualisations, tables, and GTU format-ready outputs ✅ Deliver well-commented notebooks, cleaned dataset, chapter drafts, and a walkthrough so you can reproduce everything locally I’ve worked on similar NLP and research-writing projects and understand the importance of reproducibility, documentation, and academic-quality results especially on a tight timeline. I can start immediately and deliver the first data pull within a week. Let’s discuss your preferred tools, labeling approach, and thesis format so we can move fast. Best regards, FCS Agency

@AhmedAlhour

I’d be glad to partner with you on your MTech thesis at GTU and support the full NLP pipeline—from data collection to thesis-ready results. I can build a reproducible, well-documented workflow to gather a large, legally compliant corpus (50,000+ reviews) using APIs or structured scraping where permitted. The dataset will be cleaned, deduplicated, normalized, and prepared for analysis with clear documentation so you can reproduce everything independently. For modeling, I’ll implement: • Baseline methods (lexicon-based, TF-IDF + Logistic Regression/SVM) • Advanced ML/DL models (Random Forest, LSTM/GRU, or fine-tuned transformers if suitable) All models will be evaluated using proper train/test splits and cross-validation, targeting an F1 score ≥ 0.80. I’ll also conduct aspect-based analysis (e.g., service, amenities, cleanliness) if it strengthens your thesis contribution. Deliverables include: • Cleaned dataset • Well-commented Python notebooks • Visualizations (confusion matrices, performance plots, insights) • Thesis-ready chapters (methodology, experiments, results, conclusion) aligned with GTU format • A walkthrough session for full reproducibility Timeline: Week 1 – Data pipeline + initial pull Weeks 2–4 – Cleaning + baseline models Weeks 5–6 – Advanced models + final results I’m ready to start immediately and help you deliver a strong, defense-ready thesis.

@Safa26Analyse

I can support your research project by providing data cleaning, preprocessing, and exploratory sentiment analysis on your hotel reviews. I will create well-commented Python notebooks and visualizations to highlight meaningful patterns. This will give you actionable insights and a reproducible workflow so you can continue building ML models and writing your thesis chapters independently. I ensure timely delivery with clear guidance every step of the way.

@jaishnavic

I’m interested in supporting your MTech thesis on hotel review sentiment analysis. I have hands-on experience in Python, NLP, and building end-to-end text processing pipelines including data scraping, cleaning, modeling, and evaluation. I’ve worked with tools like NLTK, Scikit-learn, and deep learning frameworks, and can help achieve strong model performance (F1 ≥ 0.80). I can deliver reproducible code, cleaned datasets, visualizations, and thesis-ready experiment documentation. I’m comfortable working in tight timelines and ensuring results are publish-ready. Happy to start immediately and collaborate through to your final submission.