Machine Learning Sentiment Analysis

Greetings, Thank you for considering my application for this project. As an AI Engineer and Developer with over 8+ years of experience, I bring a wealth of knowledge and expertise in the field of Deep Learning. I have carefully reviewed the project description and am eager to discuss your specific needs and requirements in more detail. My commitment is to provide dedicated support and consistent follow-up throughout the project's lifecycle. Please feel free to reach out to me to further discuss how I can contribute to the success of your project. Looking forward to the opportunity of working together. Best regards, KuroKien

Greetings, Dear client, I am Dr. Muhammad Hamid Shahbaz (PhD). I have written many PhD dissertations and research articles. I am a professional reviewer, proofreader, researcher and data analyst using SPSS, Excel, Smart PLS, AMOS, and NVivo. I have Q1 and Q2 publications in high impact journals. I will provide you with quality work as per your requirements. I have international publications in impact factor journals. I have many years of experience in research writing, content writing, data analysis, thesis writing, proposal writing, higher education research projects, and as a research consultant. My latest works (theses and articles) will be shared on your demand. I look forward to your response. Best Regards: Dr. Hamid Shahbaz

Hi there, I have checked your project, which requires Machine Learning Sentiment Analysis. I’m a professional academic writer with 7 years’ experience penning different academic research, thesis, essay, and dissertation on various subjects. I am well skilled with numerous citation and referencing styles, including APA, MLA, HARVARD, CHICAGO and Turbain. Kindly send a message in the chat box so I can share some samples with you. Regards Bharti

Equipped with an extensive background in Data Science and Statistical Analysis, I am thrilled at the prospect of applying my skills to your Sentiment Analysis project. Over the years, I have become well-versed in using machine learning techniques to analyze and categorize sentiments, making sense of complex datasets like the one featured in this project. My proficiency in popular languages such as Python, coupled with my prior use of algorithms like clustering (which aligns with one of your requirements), makes me fit for this task. Having a flair for data visualization, I assure you that not only will I produce insightful conclusions from the analysis, but I will also present them in a visually engaging manner. As evident from my list of skills, I am well-versed in coding and working with different programming languages, including R Programming and Python. This depth of knowledge will not only assist me in replicating the provided Colab notebook's results to achieve consistency but also ensure efficient troubleshooting if need be. Lastly, my reputation for delivering high-quality work on time while maintaining utmost professionalism is something that sets me apart from the rest. With each project, my ultimate goal is to provide value by giving the client exactly what they want and need – matching their guidelines word for word.

With my years of experience in the field of data science and a deep understanding of machine learning techniques, I am confident that I can successfully complete your project on machine learning sentiment analysis. Skilled in dealing with large datasets, I assure you a streamlined approach that not only effectively analyzes and categorizes sentiments but also provides actionable insights for your business. My proficiency in Python, R, SQL, and Tableau will allow me to efficiently handle the two dataset excel files provided for this project and come up with custom solutions tailored specifically to your needs. Knowledge of clustering algorithms is yet another asset I bring, which will enable me to segment Zomato restaurants effectively to provide information crucial for better decision-making. As your project requires not just successful completion but also skillful presentation of results, my proficiency extends beyond technical work. I am adept at presenting complex analyses and visualizing the results so that they become impactful and understandable for all stakeholders. With me, you're getting a comprehensive package that guarantees not just quality work but excellent results presentation as well. Let's convert your data into valuable insights together!

Hi, and thanks for considering my proposal. I'm an electrical engineer, a lecturer, and freelance professional. I have 10+ years of experience completing freelance projects in various niches like engineering, academic/technical writing, and machine learning. I can perform projects related to power electronics, control engineering, electronics, analog and digital circuit design, signal, and image processing, data science, statistics, machine learning, and deep learning. To perform these tasks, I am skilled in: ⌂ MATLAB/Simulink ⌂ LTspice, NI Multisim, Proteus ⌂ R Programming, Python ⌂ MS Excel, SPSS Statistics Also, I have recently completed the Google certifications (Data Analytics, Advanced Data Analytics). By looking at your project I am confident that I can accomplish the task. Please share the exact details and let me tell you how I can accomplish the job. Please note that BUDGET and TIMINGS are NEGOTIABLE. So, contact me now. Regards Ghulam Shabbir

With a year of Python experience and diverse projects in Image Recognition, Emotion Detection, and House Price Prediction, I'm prepared for your sentiment analysis and restaurant segmentation task. Using Python, ML algorithms, and data manipulation, I'll deliver fitting solutions. Approach: 1. Data Preprocessing: Clean, preprocess, and standardize datasets, handling missing values and duplicates. 2. Sentiment Analysis: Employ NLP libraries like NLTK or spaCy to categorize sentiments (positive, negative, neutral) in customer reviews. 3. Visualization: Visualize sentiment analysis results with matplotlib or seaborn for clear insights using bar graphs or word clouds. 4. Restaurant Segmentation: Use K-means or hierarchical clustering to segment Zomato restaurants based on attributes like cuisine, price, and ratings. Conclusion: My expertise in Python, ML, data analysis, and visualization aligns perfectly with your needs. By analyzing sentiments and segmenting Zomato restaurants, I'll provide actionable insights. Let's collaborate for project success. Thank you for considering my proposal. Eager to discuss details and start working.

Hi, I am excited to apply for the position of data scientist in your project. I am well trained data scientist with 6 years of experience in the field of data science. I have worked on various ML modelling projects which include sentiment analysis. I have build classification model to predict sentiment of the sentence with polarity score using textblob for comment farmers data for drug company. I have worked on many Natural Language Processing algorithms. I can complete this project within 3 days.

I am submitting my bid for the sentiment analysis and clustering project. With extensive experience in machine learning, proficient data analysis and visualization skills, and a deep understanding of sentiment analysis techniques, I believe I am well-equipped to tackle the tasks outlined in the project. My approach involves leveraging state-of-the-art machine learning algorithms to accurately analyze and categorize the sentiments expressed in customer reviews. By employing advanced clustering algorithms, I will segment Zomato restaurants effectively, enabling meaningful insights and actionable conclusions to be drawn from the data. I have carefully reviewed the project guidelines and example materials provided and am confident in my ability to deliver results that meet your expectations. My commitment to quality and attention to detail ensure that the project will be completed to your satisfaction. Thank you for considering my proposal. I look forward to the opportunity to contribute to your project's success.

I am submitting my bid for the sentiment analysis and clustering project. With extensive experience in machine learning, proficient data analysis and visualization skills, and a deep understanding of sentiment analysis techniques, I believe I am well-equipped to tackle the tasks outlined in the project. My approach involves leveraging state-of-the-art machine learning algorithms to accurately analyze and categorize the sentiments expressed in customer reviews. By employing advanced clustering algorithms, I will segment Zomato restaurants effectively, enabling meaningful insights and actionable conclusions to be drawn from the data. I have carefully reviewed the project guidelines and example materials provided and am confident in my ability to deliver results that meet your expectations. My commitment to quality and attention to detail ensure that the project will be completed to your satisfaction. Thank you for considering my proposal. I look forward to the opportunity to contribute to your project's success.

Hi there, I have checked your project, which requires writing an academic research methodology paper. I’m a professional academic writer with 4 years of experience penning different academic research, theses, essays, and dissertations on various subjects. I am well-skilled with numerous citation and referencing styles, including APA, MLA, HARVARD, CHICAGO, and Turbain. Kindly send a message in the chat box so I can share some samples with you. Regards

I am an experienced Machine learning engineer with over 14 years of industry experience in consulting and 9 years as a Machine learning engineer. I have worked on real world projects related to NLP and I think I can utilize my skills to help you out in your project.

During my time at Nextgen Clearing Pvt Ltd, I played a key role in the Langchain Project, where I leveraged Large Language Models (LLMs) to enhance customer support interactions. My responsibilities included building and fine-tuning the LLM model for optimal performance and developing new functionalities using FastAPI and SQLAlchemy in Python for SIM management products. At Konze India Pvt Ltd, I led a team of Data Scientists and spearheaded various automation projects, including Australian driver's license verification and passport MRZ detection. Additionally, I developed a Telegram Chatbot using the RASA NLP framework and implemented a face recognition attendance system, showcasing my proficiency in cutting-edge technologies like OpenCV and dlib. One of my other notable work was the development of an articles/blogs recommendation engine using BERT and cosine similarity algorithm, which provided personalized recommendations based on user preferences. I have been awarded Best Employee of Quarter twice. Furthermore, I contributed to enhancing cross-selling opportunities for restaurants by analyzing top-selling items and deploying a recommendation engine based on market basket analysis at Petpooja. Overall, my diverse experience in data science and software development, coupled with a strong focus on innovation and problem-solving, makes me well-equipped to tackle challenging projects and drive impactful results.

i can quantify emotions numerically, adding a deeper layer of insight to the analysis. By leveraging advanced NLP techniques and clustering algorithms, I will provide actionable insights into customer sentiments and segment Zomato restaurants. My commitment to delivering high-quality results within the agreed timeframe, coupled with excellent communication skills, ensures a successful project outcome.

Having developed and delivered solutions based on machine-learning in my past and current career, I identified that your project details and the requirements fall well within my zone of expertise. In particular, recently, I have developed a monitoring dashboard that tracks the (negative) sentiments to identify any potential hinderance to the ecosystem of capital markets. If given an opportunity, I would like to know more details regarding the exact deliverables. I look forward to the mutual growth and development. P.S: The "ML PROJECT GUIDELINES" pdf that is mentioned in the project details is missing.

I am eager to apply my extensive machine learning and data analysis expertise to your project, focusing on analyzing customer review sentiments and clustering Zomato restaurants into distinct segments. My proficiency encompasses advanced sentiment analysis techniques, data visualization, and the utilization of clustering algorithms, ensuring a comprehensive understanding and categorization of customer feedback. Leveraging the guidelines provided in your ML PROJECT GUIDELINES pdf and following the structure of your example project, I will deliver insightful conclusions and visual representations of the sentiments expressed in the reviews, utilizing the provided datasets in the Sample submission Colab notebook. My goal is to provide actionable insights that will help in strategically improving customer satisfaction and segmenting restaurants for targeted marketing efforts.

I am quite proficient in ML and data analytics. I have worked with foreign clients helping them in analyzing sales patterns across their locations over multitudes of parameters from human behavior to weather and effectively given them solutions to better improve on store location and product placement. I use pattern recognition and clustering algorithms to analyze and predict the future. Apart from ai and ml to solve it i have good personal experience and a a good brain that has been looking at numbers and graphs since my introduction to this field. Excited to hear from you and hopefully work together.

Hello go through your requirement having good expertise in machine learning and deep learning and nlp build multiple project related to sentiment analysis from handling unstrcutre to model building and analyze build multiple project from building to maintaince looking forward to your response for further discuession

Hello, With a strong background in machine learning and data analysis, I am well-equipped to undertake the sentiment analysis project. Leveraging my expertise, I will analyze customer reviews, categorize sentiments, and draw insightful conclusions as per your requirements by using state of the art technology I can implement your project using machine learning or using deep learning to optimize the model performance. i am proficient in data visualization and clustering algorithms, I am confident in delivering comprehensive results. I look forward to collaborating on this project .

Hello Client, I hope this proposal finds you in excellent health. I'm a Certified & Experienced Expert. I take this opportunity to inform you that i have KEENLY gone through your project titled (Machine Learning Sentiment Analysis), clearly understood all your project requirements as given in your project description and I confirm to you that i can perfectly deliver as instructed. Being in possession of all CLEARLY STATED required project skills (Python, Machine Learning (ML), Statistical Analysis, Technical Documentation and Data Science) as this is my area of professional specialisation having completed all Certifications and developed adequate experience in the same area, I hereby humbly request you to consider my bid for Professional, Quality and Affordable services always. AFFORDABLE QUALITY SERVICES,STRICT TIMELY DELIVERY & UNLIMITED REVISIONS. Kindly Message Me We Discuss More About The Project and seal the contract. Welcome and Thank-you.

Dear Client, I am excited to submit a proposal for the sentiment analysis project outlined in your project description. With a strong background in natural language processing and a Ph.D. in Computer Science and Engineering from IIT Madras, I am confident that I would be able to deliver high-quality results to meet your expectations. My take on the project would be to first analyze the sentiments of the given reviews using state-of-the-art sentiment analysis techniques. Broadly, the reviews could be categorized to three categories: positive, negative, and neutral. Next, I will use interactive charts and graphs to convey the findings from analysis such as word clouds of frequent terms in positive and negative reviews and sentiment distribution across different categories such as price range, location, cuisine type, etc. Finally, I will apply clustering algorithms to segment Zomato restaurants into different groups based on various features such as ones listed above. My skills and expertise make me an ideal candidate for this project. I have 2 years of work experience and 5 years of research experience in machine learning, with a focus on natural language processing. I have also mentored graduate students on NLP projects during my Ph.D. days and have international NLP research publications. Thank you for considering my proposal. I look forward to discussing the project further and working together to achieve your goals. Best regards, Devi Ganesan