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I'm seeking urgent help with managerial accounting, specifically budgeting. I need assistance with: - Developing a comprehensive budgeting plan - Understanding key budgeting concepts and methodologies - Applying budgeting techniques to given scenarios Ideal skills and experience: - Strong background in managerial accounting - Expertise in budgeting - Ability to explain complex concepts clearly - Experience with AI and accounting homework platforms Objective In this assignment you will (a) programmatically retrieve a small panel of 10-K annual reports from the SEC EDGAR system, (b) extract the Management's Discussion and Analysis (MD&A) section, and (c) run two NLP analyses - sentiment scoring and topic modeling - on the extracted text. You will then interpret the results from an accounting analyst's perspective. This assignment is intentionally end-to-end. The goal is for you to feel the joint cost and value of working with real, messy accounting text data. Tools and starter code Python 3.11+ with packages: requests, pandas, beautifulsoup4 (or lxml), nltk, scikit-learn, gensim (or sklearn LDA), wordcloud, matplotlib. Optional: the Loughran-McDonald (LM) financial sentiment dictionary (download link will be posted on Canvas). A starter notebook (Python codes from Modules 3&4) is provided on Canvas; you may extend it. Part 1 - Data Retrieval (25 points) Select FIVE publicly traded U.S. firms. They must be from at least two different industries (e.g., 1 tech, 1 retailer, 1 bank, etc.). List the firms, tickers, and CIKs in your write-up. For each firm, download the THREE most recent annual 10-K filings (typically fiscal years 2023, 2024, 2025) from SEC EDGAR. Use the EDGAR full-text index, not a third-party scraper. Programmatically extract Item 7 (Management's Discussion and Analysis) from each 10-K. Save the cleaned MD&A text for each firm-year as a separate .txt file. Build a pandas DataFrame summarizing: firm, ticker, fiscal year, filing date, MD&A character count, MD&A word count. Deliverable: include the summary table and a brief discussion (3-5 sentences) of any patterns you notice (e.g., are MD&A sections getting longer over time? Are some industries more verbose?). Part 2 - Sentiment Analysis (25 points) Compute a Loughran-McDonald sentiment score for each MD&A. Define your score as: (positive_word_count - negative_word_count) / total_word_count. Report the raw counts and the score. Plot the sentiment trend over time for each firm (a small multi-line chart is fine). Briefly compare your computed sentiment with each firm's stock-price reaction in the 3 days around the 10-K filing date (you can use Yahoo Finance or any free price source). Do firms with more negative MD&A sentiment tend to have negative filing-window returns? You only need a qualitative observation - this is not a publishable test. Deliverable: the score table, the time-series chart, and 5-8 sentences of interpretation. Part 3 - Topic Modeling (25 points) Combine all MD&A texts into one corpus (15 documents total: 5 firms x 3 years). Clean the corpus: lowercase, remove stopwords (use both the standard English list and a custom financial-stopwords list - we will discuss in lecture), lemmatize. Fit an LDA topic model with K = 5 topics. Report (a) the top 10 words for each topic; (b) a sensible label you assign to each topic (e.g., 'supply chain disruption,' 'capital structure'); (c) the dominant topic per firm-year. Produce a word cloud for at least one firm's most recent MD&A. Deliverable: the topic table, the dominant-topic-per-firm-year table, the word cloud image, and 5-8 sentences interpreting whether the topics line up with each firm's known business challenges. Part 4 - Reflection (15 points) In 1/2 - 1 page, address: (a) where did programmatic retrieval save you time vs. doing this by hand for 15 filings; (b) where did the NLP results agree or disagree with your own reading of one filing's MD&A; (c) what additional features (e.g., readability scores, embeddings, an LLM summary) would you add next, and why? Generative AI Use Disclosure (10 points) Include a one-paragraph AI Use Disclosure: which models/tools you used (e.g., Claude via the Rutgers AI portal, ChatGPT for code debugging), and how. You will not be penalized for using AI - you will be penalized for not disclosing. Code or text you incorporate must be verified and understood; you remain responsible for correctness. Please provide a detailed approach and any relevant credentials.
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LESS THAN ONE DAY!!! Hi, I have strong experience in managerial accounting, budgeting, financial analysis, and Python-based accounting research projects. I can help complete the full assignment, including SEC EDGAR data retrieval, MD&A extraction, sentiment analysis, LDA topic modeling, visualizations, interpretation, and documentation. I’ll provide clean, well-commented code, accurate analysis, and clear explanations to ensure all requirements are met on time.
$120 USD in 1 day
2.9
2.9
81 freelancers are bidding on average $150 USD for this job

⭐⭐⭐⭐⭐ Expert Help in Managerial Accounting and Budgeting Solutions ❇️ Hi My Friend, I hope you're doing well. I reviewed your project needs and see you are looking for help with managerial accounting and budgeting. Look no further; Zohaib is here to assist you! My team has successfully completed 50+ similar projects in this field. I will help you develop a strong budgeting plan, explain key concepts, and apply techniques effectively. ➡️ Why Me? I can easily handle your budgeting project as I have over 5 years of experience in managerial accounting, specializing in budgeting, financial analysis, data interpretation, and more. I possess a strong grip on accounting software and NLP tools, ensuring a thorough approach to your project. ➡️ 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 in our chat. ➡️ Skills & Experience: ✅ Managerial Accounting ✅ Budget Development ✅ Financial Analysis ✅ Data Interpretation ✅ Accounting Software ✅ NLP Techniques ✅ Sentiment Analysis ✅ Topic Modeling ✅ Python Programming ✅ Data Retrieval ✅ Report Writing ✅ Problem Solving Waiting for your response! Best Regards, Zohaib
$150 USD in 2 days
7.9
7.9

Hi, I CAN FINISH WITHIN 24 HOURS. I have read the project description and can urgently assist with this managerial accounting, budgeting, SEC 10-K retrieval, MD&A extraction, NLP sentiment analysis, topic modeling, interpretation, and final write-up. I have strong experience in accounting, finance, Python-based data analysis, AI/NLP workflows, SEC filings, and academic reporting. My approach will be to select five U.S. listed firms from at least two industries, retrieve their three most recent 10-K filings from SEC EDGAR, extract and clean Item 7 MD&A text, then build the required pandas summary table. I will then calculate Loughran-McDonald sentiment scores, create sentiment trend charts, compare filing-window stock reactions, run LDA topic modeling with five topics, generate the dominant-topic table and word cloud, and write the reflection plus AI use disclosure in clear academic language. I can also explain the budgeting/accounting concepts clearly and ensure the notebook, tables, charts, cleaned text files, and written report are organized, reproducible, and aligned with the grading criteria. Please message me. Thanks, Soha
$140 USD in 3 days
7.8
7.8

Hello sir, Did go through your job description and glad to share that I have enormous experience in working with AI Accounting Homework Assistance I'm a seasoned programmer and Engineer with quality experience in Flutter, React, Node.JS, SpringBoot, Frontend and Backend Development, Python, Matlab, R studio, C, C++, C#, OpenCV, OpenGL, Tesseract OCR, google vision, Statisticaal programming/R progamming data analysis Computing for Data Analysis Time Series & Econometric, Machine learning, AI, Deep learning, Matlab and Mathematica, 3D modeling, CAD/CAM,AutoCAD, 2D, Architectural Engineering, SolidWorks, Unity 3D, PCB, Electronics, Arduino, Automation, Embedded and Firmware , IOT, Electrical/Mechanical Engineering I am a TOP Rated Freelancer, and you can check my reviews here as well: https://www.freelancer.com/u/mzdesmag. Looking forward to potentially working together on this project. Thanks and Best regards, Adekunle.
$30 USD in 1 day
6.5
6.5

SEC EDGAR Data Extraction & NLP Analysis for Managerial Accounting Research requires programmatic retrieval of 10-K filings, MD&A extraction, and dual NLP processing—sentiment scoring and topic modeling. This is a technical execution project with clear deliverables across four distinct phases. Part 1 involves Python-based SEC EDGAR API calls, BeautifulSoup parsing for Item 7 extraction, and pandas DataFrame construction. This has been executed successfully across 500+ research projects. Part 2 applies the Loughran-McDonald financial sentiment dictionary to compute normalized sentiment scores and correlates filing-window stock reactions—standard financial NLP work. Part 3 implements Latent Dirichlet Allocation with K=5 topics, word cloud generation, and business interpretation mapping topics to known firm challenges. The reflection component and AI Use Disclosure require critical analysis of methodology trade-offs and transparent tool documentation. Turnitin plagiarism and AI detection reports will accompany all deliverables. Delivery: 7 business days. Python code, all outputs (DataFrames, charts, word clouds), write-up sections, and documentation included.
$30 USD in 1 day
6.5
6.5

Your assignment combines managerial accounting, financial statement analysis, SEC data extraction, NLP, sentiment analysis, topic modeling, and Python-based research workflows. This requires both accounting knowledge and hands-on experience with financial text analytics. Hi, I have strong experience in Managerial Accounting, Financial Analysis, Python, Data Science, NLP, and SEC EDGAR data extraction. I have worked with annual reports, financial sentiment analysis, Loughran-McDonald dictionaries, topic modeling (LDA), and accounting research projects. ✔ SEC EDGAR 10-K Retrieval & Parsing ✔ MD&A Extraction (Item 7) ✔ Python (Pandas, Requests, BeautifulSoup, NLTK, Scikit-Learn, Gensim) ✔ Financial Text Analytics & NLP ✔ Loughran-McDonald Sentiment Analysis ✔ Topic Modeling (LDA) ✔ Word Clouds & Data Visualization ✔ Stock Return Event Analysis ✔ Academic Report Writing & Interpretation ✔ AI Use Disclosure & Documentation I can provide a complete, well-documented solution with reproducible code, accounting-focused interpretation, and detailed explanations of every step. Improve accuracy for technical work
$140 USD in 7 days
6.4
6.4

Hi, your project "AI Accounting Homework Assistance NEED in less than 24 hours" is clear, and I can take care of the implementation. My focus would be turning the UI requirements into a polished, responsive build. I would first check the current setup, then complete the work in a way that is easy to review. As an experienced software engineer, I've developed AI-driven automation tools and web-based solutions for complex projects like yours. My expertise in Python programming and finance analysis perfectly matches your needs. I'm skilled in retrieving and cleaning data using packages like `requests` and `pandas`. I can handle building a summarizing pandas DataFrame from the downloaded Management's Discussion and Analysis (MD&A) text. Best regards, Houssame
$140 USD in 7 days
6.5
6.5

Hi there, I am a Data Scientist, a professional responsible for providing comprehensive finance and accounting services tailored to meet your organization's operational and strategic needs. My approach combines industry best practices with a deep understanding of financial regulations and performance management to deliver accurate, timely, and transparent financial reporting. I offer end-to-end solutions, including accounts payable and receivable management, general ledger maintenance, budgeting and forecasting, payroll processing, tax compliance, and financial analysis. Leveraging a skilled team and modern financial tools, my aim to improve efficiency, ensure compliance, and support data-driven decision-making, all while reducing operational costs and risks. Also entrusting your sales data with someone who values precision and confidentiality. Let's begin working together on this valuable project to deliver lasting results that will positively impact your business. Thanks Gdev
$140 USD in 7 days
5.7
5.7

Hi, there. I have carefully reviewed the project requirements for AI Accounting Homework Assistance. It is clear that you are looking for an intelligent way to automate your current workflows, and I would love to help you build a system that delivers measurable efficiency. My team and I specialize in AI automation and chatbot development that helps businesses in United States handle repetitive tasks without losing the human touch your customers expect. We focus on building stable, secure workflows using AI Chatbot Development, AI Development, AI Consulting, AI Content Creation, Python that integrate seamlessly with your existing platforms to reduce manual workload and improve response times. Our goal is to provide you with a solution that is not a black box, but a documented and manageable system that scales as your business grows. We have successfully implemented automations that allow teams to focus on strategy instead of administration. To help me put together the most efficient roadmap for your project, I have one quick question: What is the most time consuming part of this workflow that you are currently handling manually, and which platforms are you looking to integrate? Knowing this helps me determine the most effective technical path to ensure the automation provides the highest return on your investment. I am available for a discovery call to discuss your automation roadmap whenever you are ready. Best regards Kausar and the Team
$180 USD in 3 days
5.3
5.3

I can help complete this end-to-end assignment, from SEC EDGAR 10-K retrieval and MD&A extraction to Loughran-McDonald sentiment analysis, LDA topic modeling, visualization, interpretation, and final report writing. With experience in Python, NLP, financial text analysis, pandas, scikit-learn, and accounting research workflows, I can deliver accurate code, clear explanations, and fully documented results
$140 USD in 1 day
5.3
5.3

I have solid experience in managerial accounting and a strong grasp of budgeting concepts. I can help you develop a comprehensive budgeting plan and clarify key methodologies involved. Furthermore, my background in Python and data analysis will support the programmatic retrieval and processing of financial data from 10-K reports, which is a requirement for this project. Understanding the sentiment and topic modeling from the Management's Discussion and Analysis sections is vital. I will apply NLP techniques to analyze the data effectively. I'd like to know more about your current budgeting techniques. Have you decided on the specific firms for the 10-K data retrieval? What are your expectations regarding the complexity of the NLP analysis? Could you share any concerns you might have about this project?
$30 USD in 10 days
5.2
5.2

★•══•★ Hi client ★•══•★ I have experience with managerial accounting analysis, Python-based financial text processing, SEC EDGAR data retrieval, NLP, sentiment analysis, topic modeling, and accounting research workflows. My approach will be: ✔️ First, I will programmatically retrieve the latest 10-K filings from SEC EDGAR, extract and clean the MD&A sections, save each firm-year text file, and build the required summary DataFrame. ✔️ Then, I will run Loughran-McDonald sentiment scoring, create the sentiment trend chart, compare filing-window stock reactions, and interpret the results from an accounting analyst’s perspective. ✔️ Finally, I will clean the full MD&A corpus, perform LDA topic modeling, generate topic/dominant-topic tables, create the word cloud, and prepare the reflection plus AI-use disclosure in a clear academic format. I have worked with Python, pandas, requests, BeautifulSoup/lxml, NLTK, scikit-learn, gensim, matplotlib, financial statement analysis, budgeting concepts, and accounting-focused data projects. One key question: Do you already have the five firms selected, or should I choose a balanced sample across different industries? Best regards. Rico
$250 USD in 4 days
5.0
5.0

Hello dear, I’m Md. Toriqul Islam, an experienced Data Analyst and Python Developer with 10+ years of expertise in financial data analysis, NLP, machine learning, and accounting-related research projects. I understand you need assistance with managerial accounting concepts and a complete SEC EDGAR-based NLP assignment involving automated 10-K retrieval, MD&A extraction, sentiment analysis, topic modeling, visualization, interpretation, and documentation. I have worked on similar Python-based data analytics projects using SEC filings, pandas, NLP libraries, machine learning models, and financial datasets, delivering accurate code, reports, and clear explanations. I have rich experience in Python, Pandas, NLTK, Scikit-learn, Gensim, Financial Analysis, NLP, and Data Visualization. I’m ready to start immediately and would be happy to discuss this project. Looking forward to hearing from you. Best regards, Md. Toriqul Islam
$50 USD in 3 days
5.0
5.0

Hi there, I am A.R.M. MASUD with a strong background in data science. I propose to conduct an econometric analysis aimed at Econometrics, Finance, Accounting Analysis "examining the impact of education on income levels using cross-sectional data. This project will involve data cleaning and preparation, Model specification and estimation using appropriate Econometrics, Finance, and accounting techniques (such as OLS, panel data, probit/logit, or time series methods). Provide visualizations (regression plots, residual plots) and interpret the results using diagnostic tests to ensure robustness. The analysis will be performed using statistical software such as SPSS, STATA, R, or Python, and findings will be summarized in a clear, concise report with actionable insights or policy recommendations. The project will be completed within your timeframe and will include all relevant datasets, code, and documentation. https://www.freelancer.com.bd/projects/excel/Finance-Excel-Sheet-Population/reviews https://www.freelancer.com.bd/projects/python/Python-Financial-Modeling-Aid-39392137 Don't hesitate to get in touch with us for any further clarifications or modifications to the proposal. Thanks A.R.M MASUD
$140 USD in 7 days
4.8
4.8

Hello, Most freelancers will focus on either the accounting concepts or the Python implementation. This project requires both, and the real challenge is connecting financial analysis with a complete NLP pipeline built on SEC filing data. I can assist with the entire workflow, from retrieving and processing 10-K filings through SEC EDGAR to performing sentiment analysis, topic modeling, visualization, and interpretation of the results from an accounting perspective. What I can deliver: • Automated SEC EDGAR data retrieval for 5 companies across multiple industries • Programmatic extraction and cleaning of Item 7 (MD&A) sections • Structured pandas DataFrame with filing metadata and text statistics • Loughran-McDonald sentiment analysis with score calculations and trend visualizations • Stock-price reaction comparison around filing dates • LDA topic modeling with topic labeling and dominant-topic identification • Well-documented Python code and Jupyter Notebook • Professional report discussing methodology, findings, limitations, and accounting implications • Clear explanations of budgeting, managerial accounting concepts, and analytical techniques where required I have experience working with Python, data analysis, NLP workflows, financial datasets, and research-oriented projects. The final deliverables will be organized, reproducible, and ready for submission, with clean code and detailed documentation. I can start immediately and provide regular progress updates throughout the project. Looking forward to discussing the requirements in more detail.
$100 USD in 15 days
4.5
4.5

⭐⭐⭐⭐⭐ ✅Hi there, hope you are doing well! I have worked on projects involving programmatic data retrieval and NLP analysis on financial documents, simplifying complex accounting texts efficiently. The key is precise data extraction and correct sentiment/topic modeling interpretation based on financial context. Approach: ⭕ I will programmatically retrieve 10-K reports, extract the MD&A section accurately, perform sentiment scoring and topic modeling with Python, and provide qualitative analysis from an accounting perspective. ❓ What are the specific firms you prefer for analysis? I am confident in delivering a thorough and insightful analysis aligned with your academic needs. Best regards, Nam
$200 USD in 3 days
3.8
3.8

With comprehensive experience in Artificial Intelligence and a doctorate in this field, I am more than equipped to help you with this challenging accounting task. My unique skill set and successful track record enable me to offer precise solution and insights that are vital to your assignment. Not only am I well-versed in Managerial u can count on my skills in nltk, scikit-learn, gensim (or sklearn LDA), wordcloud, matplotlib as mentioned. Moreover, my proficiency with AI-backed platforms enables me to provide not only the technical answers but also nature them based on the given context ensuring a thorough understanding. I believe that my experience working for software companies on large-scale projects, along with my consultative approach well suit your intentions in this project. In closing let's leverage the strength of cutting edge technology of AI+NLP for executing your business project effectively and accurately , to derive deep insights . Let's have a further conversation about how my specific expertise can be used to make your project successsful.
$30 USD in 7 days
3.9
3.9

Hello. I can quickly set up the Python environment to retrieve SEC EDGAR 10-K reports, extract the MD&A sections, and perform the required sentiment and topic modeling analyses. - Programmatic retrieval of 10-K filings from SEC EDGAR using `requests`. - Precise MD&A extraction with `BeautifulSoup4` and data structuring into `pandas` DataFrames. - Sentiment scoring (`NLTK`, LM dictionary) and topic modeling (`scikit-learn`), with `matplotlib` visualizations. I can complete this entire assignment for $200 within 2 days. I'll provide well-commented Python code and all required deliverables for your review. What are the specific requirements for integrating the provided starter notebook and any preferred formatting for the final discussion document? Best regards, Yevhen.
$200 USD in 2 days
4.0
4.0

I can complete this project for $300 USD fixed price and deliver the full assignment, including Python code, SEC EDGAR data retrieval, MD&A extraction, sentiment analysis, topic modeling, visualizations, interpretation, and the required written report. My background includes Python, financial analysis, accounting research, NLP, machine learning, and data analysis. I am experienced with pandas, scikit-learn, NLTK, LDA topic modeling, SEC EDGAR data extraction, and financial text analytics. I can build the complete workflow programmatically, generate all required tables, charts, word clouds, and provide clear accounting-focused interpretations that align with academic requirements. The final deliverable will include well-documented source code/notebook, cleaned MD&A text files, sentiment and topic modeling results, reflection section, AI use disclosure, and a professionally formatted report ready for submission. I can begin immediately and provide progress updates throughout the project. Samiha S.
$300 USD in 1 day
3.9
3.9

Hi There!!! ★★★★ ( EDGAR 10-K MD&A NLP Sentiment & Topic Modeling Pipeline ) ★★★★ Project understanding: You need a Python workflow to pull 10-K reports from SEC EDGAR, extract MD&A sections, and apply Loughran-McDonald sentiment scoring plus LDA topic modeling, along with tables, visualizations, and interpretation for accounting analysis. Services: ⚜ SEC EDGAR 10-K retrieval automation ⚜ MD&A extraction & text cleaning ⚜ Loughran-McDonald sentiment scoring ⚜ LDA topic modeling (sklearn/gensim) ⚜ DataFrame summary tables creation ⚜ Visualization (matplotlib, wordcloud) ⚜ Report writing + AI disclosure support Experience: Built Python NLP pipelines on financial filings, earnings calls, and accounting datas, combining ML with accounting insight's. Approach: Modular scripts, EDGAR retrival, cleaning, LM sentiment, LDA K=5, charts and insights. Let’s connect to start quickly and discuss details. Warm Regards, Farhin B.
$110 USD in 10 days
3.8
3.8

I looked at your managerial accounting assignment and need to programmatically retrieve 10-K filings from SEC EDGAR for five firms across at least two industries, extract MD&A sections, compute Loughran-McDonald sentiment scores with stock price comparison, run LDA topic modeling with K=5 topics, and provide a reflection on the process with an AI use disclosure. I have experience with SEC EDGAR data retrieval, NLP text processing with NLTK and scikit-learn, and financial sentiment analysis. The deliverables include a Python script with all code, a summary table of the retrieved filings, sentiment score table and time-series chart, LDA topic results with top words and labels, a word cloud image, a brief reflection on programmatic retrieval vs manual work, and an AI use disclosure statement. The project will be completed in 2 work days at a total cost of 140 USD. Do you have specific industries in mind for the five firms, or should I select based on availability and diversity? Do you have the Loughran-McDonald dictionary file ready, or should I source it from the provided link? Let me know your answers. I can start right away.
$140 USD in 2 days
2.9
2.9

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