Sentiment Analysis Project

Greetings, I'm Ibrahim, an experienced data scientist with expertise in data analysis, natural language processing, and machine learning. I'm interested in assisting you with your Sentiment Analysis Project. I have experience working with financial news articles and have implemented hybrid approaches to sentiment analysis using both machine learning and lexicon-based methods. I can provide you with a summary report of the sentiment analysis results in a clear and concise manner. Additionally, I can develop a system that allows you to specify relevant keywords and run sentiment analysis on those keywords every 12 hours. The system can also be modified to add or remove keywords and expand or reduce the

I understand you are seeking a freelancer who can assist you with your sentiment analysis project. Specifically, we need someone with expertise in data analysis, natural language processing and machine learning who can use their skills to perform a summary analysis of financial news articles. We would like to see a hybrid approach to sentiment analysis performed by using both machine learning methods such as ARIMA and GARCH models as well as lexicon-based methods such as CSPADE and ECLAT. This way we can get both accuracy and efficiency from our analysis while maintaining flexibility to update or modify keywords over time as needed. We would also like you to be able to specify relevant keywords each 12 hours for sentiment analysis so that you can review the results whenever you wish without having to wait for 12 hours before

Dear Researcher I am experienced academic writer and expert in SMARTPLS, NVIVO, SPSS and AMOS for data analysis (Regression, ANOVA, Correlation, t-test, Chi Square test, Block Plot, SEM, Mediation Analysis, CFA and EFA etc.). I always provide results along with descriptive statistics. Looking forward for more discussion please. You can see my related reviews: https://www.freelancer.com/projects/spss-statistics/Help-with-PhD-data-analysis/reviews https://www.freelancer.com/projects/spss-statistics/Data-analysis-SPSS-Discussion-conclusion/reviews https://www.freelancer.com/projects/statistical-analysis/Data-Analysis-for-Research-Article/reviews https://www.freelancer.com/projects/spss-statistics/Statistics-SPSS-29759215/reviews https://www.freelancer.com/projects/statistical-analysis/SPSS-Analysis-25195398/reviews https://www.freelancer.com/projects/spss-statistics/SPSS-assignment-24766032/reviews https://www.freelancer.com/projects/r-programming-language/Statistical-Project/reviews https://www.freelancer.com/projects/electrical-engineering/Engineering-statistics/reviews Regards! Dr Sajed Ali, PhD

Hello there! I am a freelance developer with expertise in Python, machine learning, and Django. I understand that you are seeking a freelancer to help you with your Sentiment Analysis Project. Specifically, you are looking for someone with expertise in data analysis, natural language processing, machine learning, and financial news text data analysis. I believe that I am the perfect fit for this project!With experience in data analysis, natural language processing, machine learning and financial news text analysis, I am well-equipped to tackle this project head on. I am passionate about software development and communication. My goal is to always ensure that all aspects of the development process are handled efficiently and effectively so that you receive top quality results quickly but with minimal fuss. Plus, I pride myself on being reliable and timely - so don't hesitate to reach out if you're looking for someone who can deliver results exactly when they're needed most!

Hi there, Based on the given requirements, the project involves performing sentiment analysis on financial news articles using a Hybrid Approach that combines both Machine Learning and Lexicon-Based methods. The freelancer should have expertise in data analysis, natural language processing, and machine learning. They will work with financial news articles as the data source and conduct sentiment analysis on specified keywords, such as 'copper' or 'soy beans', every 12 hours. The freelancer should be able to modify or add keywords and expand or reduce the search over time. The deliverable is a Summary Report presenting the sentiment analysis results in a clear and concise manner. Technical Questions: Can you provide details about the format and structure of the financial news articles? Is there any specific data preprocessing required before conducting sentiment analysis? Are there any existing labeled datasets available for training the machine learning model, or should the freelancer create one from scratch? What are the specific lexicons or sentiment dictionaries that should be used in the lexicon-based approach? Are there any domain-specific sentiment lexicons available?