Sentiment Analysis Excel Automation

@ZohaibRoy

⭐⭐⭐⭐⭐ Efficient Sentiment Analysis on 191 Statements with Python ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and noticed you're looking for sentiment analysis on your statements. Look no further; Zohaib is here to help you! My team has completed over 50 similar projects focused on sentiment assessment. I will pull the statements from your source, run them through a reliable pre-trained model, and compile the results into an organized Excel file. ➡️ Why Me? I can easily analyze your 191 statements as I have 5 years of experience in Python programming, specializing in sentiment analysis, data processing, and automation. My expertise includes using libraries like pandas and openpyxl, ensuring a smooth workflow. Additionally, I have a strong grip on NLP techniques, allowing for accurate sentiment evaluation. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. I look forward to discussing this with you! ➡️ Skills & Experience: ✅ Python Programming ✅ Sentiment Analysis ✅ Data Processing ✅ Pandas Library ✅ Openpyxl ✅ TextBlob ✅ VADER ✅ Hugging Face Transformers ✅ Excel Reporting ✅ Data Visualization ✅ Script Optimization ✅ Automation Waiting for your response! Best Regards, Zohaib

@mannanmaan1425

Hello Hannah T., I have read the project details and understood the overall requirement. I am Abdul, with 5 years of experience in Python, Data Processing, Excel, SPSS Statistics, Data Analysis, NLP, Natural Language Processing, and Sentiment Analysis. I have successfully delivered multiple projects in similar domains. For the Sentiment Analysis Excel Automation project, I propose to utilize a pre-trained sentiment model such as VADER, TextBlob, or a Hugging Face transformer to assess the sentiment of 191 statements. The process involves extracting the statements, running them through the chosen model, and compiling the results into a well-organized Excel file with relevant metadata. My portfolio: https://www.freelancer.com/u/mannanmaan1425 Please ping me back so we can discuss the project further in the chat. Best regards, Abdul

@HiraMahmood4072

Hello Hannah T. I hope you're doing well. I understand you're looking for Sentiment Analysis Excel Automation I am the ideal candidate for your project. I have read the provided job description and I understand what you are looking for. I have over 10+ years of experience Python, Data Processing, Excel, SPSS Statistics, Data Analysis, NLP, Natural Language Processing, Sentiment Analysis .Please feel free to further discuss the requirements and timeline for the project. I'd be happy to assist you. I am ready to start right now. ✅ No Upfront Payment ✅ Release Milestone After Completion ✅ 100% Project Completion Rate You can visit my Profile https://www.freelancer.com/u/HiraMahmood4072 Thank you

@ashrafsbai6655

Hi there, I checked your requirements and guarantee you that i have relevant experience in Python,AI and data science it's gonna be done within the highest quality . Let's contact via chat so that I can start work immediately

@ameenulhaq66

Hi Hannah, Thank you for considering my proposal. With over 8 years of real-world and freelance experience in Excel, I am confident in my ability to assist with your Sentiment Analysis Excel Automation project. I have carefully reviewed the requirements and am eager to discuss further details with you. I propose to pull the 191 short statements from your source, run them through a pre-trained sentiment model (VADER, TextBlob, or a Hugging Face transformer), and compile the results into a clean Excel file with the necessary data. My expertise in Python, pandas, openpyxl, and NLP libraries will ensure a smooth and efficient process. I would like to connect with you in chat to discuss your project in more detail. Regards.

@hoangnn90

✅Full Experience in Sentiment Analysis Automation with Python Programming✅. ✳️I am very confident that complete your project perfectly. ✳️I can guarantee the quality of the job and deliver the result on time. I hope we will discuss in more detail via chat. Best regards!

@TheSecondSource

Hey! We can quickly set up a sentiment analysis pipeline in Python that will process all 191 statements, generate sentiment scores, and output a clean Excel file. With 9+ years of experience and a team of 62 professionals, we’ve built similar NLP pipelines that are both accurate and reusable. Here's how we can help: * Pull your data directly from CSV or SQL (whichever you prefer) * Apply a robust pre-trained model like VADER or a Hugging Face transformer to classify each statement as positive, neutral, or negative * Output polarity/confidence scores along with the sentiment label * Export everything into a polished Excel file (via pandas + openpyxl) with zero warnings in the latest Excel version * Deliver a reusable Jupyter notebook or standalone .py script so you can rerun analysis anytime To make sure we set this up right: do you want a lighter model like VADER (fast and interpretable) or a transformer model (slower but more accurate)? And are you planning to run this locally, or should we optimize the script for cloud execution as well? We can turn this around quickly once you share the CSV or SQL dump.

@denisSolution

Hello client, I'm Denis Redzepovic, an experienced developer with expertise in Data Analysis, Natural Language Processing, SPSS Statistics, Data Processing, Sentiment Analysis, NLP, Python and Excel. I have worked extensively on diverse Python projects, ranging from backend development and automation to data processing and API integrations. My deep understanding of Python’s libraries and frameworks allows me to build efficient, scalable, and maintainable solutions. I pay close attention to code quality and performance to ensure your project runs flawlessly. With my solid experience, I’m confident I can deliver results that exceed your expectations. I focus on writing clean, maintainable, and scalable code because I know the difference between 99% and 100%. If you hire me, I’ll do my best until you’re completely satisfied with the result. Let’s discuss your project details so I can tailor the perfect Python solution for you. Thanks, Denis

@Rekhathakur

Hello, Being experts in Python and Excel, my team at WellSpring Infotech has the ideal skillset to execute your Sentiment Analysis Excel Automation project. With a thorough understanding of language processing and specifically utilizing pre-trained models like VADER, TextBlob, or Hugging Face transformer will ensure that we generate reliable sentiment scores for every statement as you require. We can easily handle CSV/SQL dumps, ensure results align with the expected model benchmarks, and deliver an error-free Excel file ready for use. Our tech prowess isn't limited to your project's technical aspects. Over the past ten years, we've built products across various industries including eCommerce and fintech similar to your scope. This exposure affords us a comprehensive understanding of specific needs in these sectors - ensuring data security and management while developing tailored solutions. Timeliness is another advantage we offer. Given your urgency, my team can promptly handle your 191 statements within the shortest time span possible without compromising quality. In partnering with WellSpring Infotech, you're deciding on a combined commitment to innovation and impeccable delivery to propel your business forward while enjoying professional security precautions Thank you

@EhtishamHaider1

I am a versatile Electrical Engineer and Data Scientist with expertise in engineering, software development, data analytics, and academic writing. My skill set spans PCB design, FPGA programming, embedded systems (Arduino, MATLAB/Simulink), and signal/image processing, enabling me to deliver robust hardware-software solutions. On the software side, I develop scalable applications and automation tools in Python, R, C/C++, Java, and Google Apps Script, and build AI/ML models (CNN, RNN, LSTM) for forecasting, analytics, and decision-making. I transform raw data into actionable insights using Power BI, Tableau, Excel, and Google Sheets, delivering professional dashboards and financial models. With experience in business analysis, finance, and academic research, I ensure every project is backed by technical precision, clarity, and professional reporting — from concept design to data-driven solutions.

@makotok5

With my solid background in Python and Excel, I'm your go-to guy for automating your Sentiment Analysis task. Not only am I skilled at developing robust, efficient pipelines using the popular tools like pandas, openpyxl etc., but I'm also well-aware of the NLP libraries like VADER, TextBlob and Hugging Face transformer that you've mentioned. Rest assured, your script will be developed in a manner that's easy for you to comprehend and re-run later. While I understand the need to follow benchmarks, I assure you my commitment is towards not just meeting them but exceeding those expectations. And as an experienced full stack developer, quality, efficiency and clear communication are guaranteed throughout the process. Although I can't share much about my previous projects due to NDAs, it has helped me hone my skills further, making me more adaptable irrespective of the project complexities. Choose me, and not only will you receive an error-free spreadsheet but an experience that leaves you satisfied with both the output and our collaboration process.

@maddifreelancer

Hi, as a proficient python data scientist , i can complete this analysis task perfectly and quickly.I can start working on the project immediately.I can assure you that the best solution will be provided for you. Please contact me to discuss further.

@ShekharTyagi345

With 8 years of experience in sentiment analysis, I am the best fit to assess the 191 short statements in your database purely on sentiment. I have the relevant skills to complete this project efficiently. How I will be completing this project: 1. Pull the statements from your source (CSV/SQL dump). 2. Run each statement through a chosen pre-trained sentiment model (VADER, TextBlob, or a Hugging Face transformer). 3. Compile the results into a clean Excel file with original statement, sentiment label, confidence score, and any other metadata. What tech stack I will be following: - Python for scripting - Pandas, openpyxl, and relevant NLP library for data processing - Jupyter notebook or a single .py file for easy rerun I have worked on similar sentiment analysis solutions in the past, ensuring accurate and reliable results. The deliverable will be one Excel spreadsheet with fully evaluated statements and a reusable script. The sentiment labels' accuracy will align with the chosen model's benchmarks, and the Excel file will open without warnings. I am prepared to start immediately. Please let me know your preferred model and the expected turnaround time.

@zain184

Hello Hannah, I have carefully reviewed your requirement for the Sentiment Analysis Excel Automation project. I plan to use Python with pandas, openpyxl, and a selected NLP library to create a pipeline that extracts the 191 statements from your source, evaluates them using a pre-trained sentiment model such as VADER, TextBlob, or a Hugging Face transformer, and compiles the results into a clean Excel file with the original statement, sentiment label, confidence score, and additional metadata. With my experience in Python and Excel automation, I am confident in delivering a high-quality solution that meets your expectations. I am proficient in working with NLP libraries and creating reusable scripts in Jupyter notebooks or .py files. I would appreciate the opportunity to discuss this project further with you. Please connect with me in the chat to explore the details. Regards, Zain Asghar

@toriquldev123

Hello Dear! I write to introduce myself. I'm Engineer Toriqul Islam. I was born and grew up in Bangladesh. I speak and write in English like native people. I am a B.S.C. Engineer of Computer Science & Engineering. I completed my graduation from Rajshahi University of Engineering & Technology ( RUET). I love to work on Web Design & Development project. Web Design & development: I am a full-stack web developer with more than 10 years of experience. My design Approach is Always Modern and simple, which attracts people towards it. I have built websites for a wide variety of industries. I have worked with a lot of companies and built astonishing websites. All Clients have good reviews about me. Client Satisfaction is my first Priority. Technologies We Use: Custom Websites Development Using ======>Full Stack Development. 1. HTML5 2. CSS3 3. Bootstrap4 4. jQuery 5. JavaScript 6. Angular JS 7. React JS 8. Node JS 9. WordPress 10. PHP 11. Ruby on Rails 12. MYSQL 13. Laravel 14. .Net 15. CodeIgniter 16. React Native 17. SQL / MySQL 18. Mobile app development 19. Python 20. MongoDB What you'll get? • Fully Responsive Website on All Devices • Reusable Components • Quick response • Clean, tested and documented code • Completely met deadlines and requirements • Clear communication You are cordially welcome to discuss your project. Thank You! Best Regards, Toriqul Islam

@AhmadXpert2410

Hi there, I can quickly and reliably assess the sentiment of your 191 statements using a pre-trained model such as VADER, TextBlob, or a Hugging Face transformer in Python. I will generate polarity scores and clear labels (positive, neutral, negative) and compile the results into a clean Excel file, including the original statements, sentiment labels, confidence scores, and any additional metadata. The workflow will be implemented in Python using pandas and openpyxl, wrapped in a Jupyter notebook or standalone .py script, so you can rerun it anytime with minimal effort. I’ll ensure the output file is fully compatible with the latest Excel version and adheres to the model’s documented accuracy. I can start immediately and deliver both the Excel spreadsheet and reusable script quickly. I’d be happy to discuss which model aligns best with your accuracy needs and project timeline. Regards, Ahmad

@DeveloperStation

Hi Hannah, We’ve built similar sentiment analysis tools using VADER and TextBlob, and we’ve also developed custom models that outperform these libraries. With our extensive experience in NLP, we can deliver a solution that’s both accurate and efficient. For your project, I recommend using VADER, as it’s specifically designed for short text and social media content. We can also enhance the pipeline with additional features like auto-scheduling and email notifications. Let’s schedule a quick 10-minute call to discuss your requirements in detail and finalize the best approach. I usually respond within 10 minutes. I’m eager to learn more about your exciting project. Best, Adil

@NoorNawaz11

Hi, Accurately mapping sentiment from your 191 statements into a clean, Excel-ready output is something I can deliver efficiently. Since your priority is speed and robustness, I’d recommend using VADER (from NLTK) or TextBlob for their proven reliability with short, social-style statements. Both provide polarity scores and easy positive/neutral/negative classification. If you’d like more advanced contextual nuance, I can also run the dataset through a Hugging Face transformer model (e.g., distilbert-base-uncased-finetuned-sst-2-english) to achieve state-of-the-art accuracy. Here’s what you’ll receive: A polished Excel spreadsheet with four key columns: statement, sentiment label, polarity/confidence score, and model metadata. A reusable Python script or Jupyter notebook, built with pandas, openpyxl, and the sentiment library, so you can re-run the analysis on new data whenever needed. Clean formatting and compatibility with the latest Excel desktop version (no broken cells or warnings). If you’d like, we can quickly align on which model (lightweight VADER vs. transformer-level accuracy) best matches your needs for balance between speed and depth. I can get started immediately and have the full deliverables back to you within a short turnaround. Let’s chat so I can confirm the model choice and kick this off right away. Thanks.

@annes01

This is exactly the kind of work I love doing. Leveraging pre-trained sentiment models like VADER aligns perfectly with my approach. I usually work with Python, pandas, and Hugging Face transformers for similar NLP projects. Quality, accuracy, and efficiency are my top priorities—I assure you a reliable sentiment analysis of your 191 statements in a clean Excel format. I've successfully completed various NLP tasks off-platform and always aim for excellence. I'm happy to offer insight even if you don’t go with me. Regards, Anne S.

@bahramfarahmandb

Hi Hannah! I can run a robust, pre-trained sentiment model over your 191 statements and deliver a clean Excel with labels (positive/neutral/negative) and numeric confidence. You’ll also get a reusable Python script/notebook to rerun the pipeline on future data. I’ll ensure the spreadsheet opens without warnings in the latest desktop Excel and that results align with documented benchmarks of the chosen model. If this fits, I’m ready to start right away.