You will get Text Data Labeling for NLP and Sentiment Analysis
Project details
This project involves the labeling of a large dataset of text entries for sentiment analysis and NLP. The labeled data will be used to train machine learning models for tasks such as sentiment classification and entity recognition, enabling more accurate and effective analysis of textual data.
Objectives:
1. Sentiment Labeling (positive, Negative, or Neutral)
2. NLP Entity Labeling (e.g., product names, emotions, topics)
Approach:
We will begin with a pilot phase to label a small sample of the data, ensuring alignment with your expectations and guidelines. Throughout the project, quality control measures will be implemented to maintain high accuracy and consistency in the labeling process. Regular updates will be provided to keep you informed of progress, with opportunities for feedback and adjustments.
Deliverables:
1. A fully labeled dataset in the specified format (e.g., CSV, JSON), with accurate sentiment and entity annotations.
2. A final report summarizing the labeling process and any key observations or recommendations.
Objectives:
1. Sentiment Labeling (positive, Negative, or Neutral)
2. NLP Entity Labeling (e.g., product names, emotions, topics)
Approach:
We will begin with a pilot phase to label a small sample of the data, ensuring alignment with your expectations and guidelines. Throughout the project, quality control measures will be implemented to maintain high accuracy and consistency in the labeling process. Regular updates will be provided to keep you informed of progress, with opportunities for feedback and adjustments.
Deliverables:
1. A fully labeled dataset in the specified format (e.g., CSV, JSON), with accurate sentiment and entity annotations.
2. A final report summarizing the labeling process and any key observations or recommendations.
Machine Learning Tools
ChatGPT, Google Data Studio, Google Sheets, GPT-3, Microsoft Excel, NLTK, Python, SciPyWhat's included
| Service Tiers |
Starter
$30
|
Standard
$60
|
Advanced
$100
|
|---|---|---|---|
| Delivery Time | 2 days | 2 days | 2 days |
Number of Revisions | 1 | 1 | 2 |
Number of Model Variations | 0 | ||
Number of Scenarios | 0 | ||
Model Validation/Testing | - | - | - |
Model Documentation | - | - | |
Data Source Connectivity | - | - | |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
custeamed project
+$50
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HI
Harith I.
Sep 22, 2024
Arabic NLP Algorithm LLM Builder
I had the pleasure of working with bakr, and I can't recommend him enough, he was not only skilled and efficient but also highly communicative throughout the project. his attention to detail and commitment to delivering excellent results truly stood out. If you're looking for a professional who meets deadlines and exceeds expectations, bakr is the one to hire. I look forward to working with them again.
About Bakr
Data Science and Analytics
Doha, Qatar - 10:00 pm local time
✅ Data science and data mining.
✅machine learning.
✅ AI-driven analytics.
✅ Web scraping.
I bring experience across:
🔭🧬 Science and technology.
💸💲finance.
💬📜 Natural languages processing.
🧑⚕️🧑🔬 healthcare.
Proficient in Python, C++, and advanced data analytics tools, I excel in delivering tailored solutions to meet your unique business needs. Whether you need data extraction, visualization, or AI model development, I’m here to help you unlock the power of your data.
Steps for completing your project
After purchasing the project, send requirements so Bakr can start the project.
Delivery time starts when Bakr receives requirements from you.
Bakr works on your project following the steps below.
Revisions may occur after the delivery date.
receiving the requirement
processing the data set according to the client needs