You will get entity extraction, natural language processing, or sentiment analysis
Project details
You will receive text analytics, including entity extraction, natural language processing and sentiment analysis. Text can be in any format, such as TXT, DOC, or PDF files.
Starter includes:
• Entity Extraction, such as extracting entities, such as names, locations, and organizations.
Standard includes:
• Natural Language Processing, such as extracting key words and phrases, and counting their frequency.
Advanced includes:
• Sentiment Analysis, such as classifying text into positive or negative categories.
Available add-ons include:
• Model documentation
• Source Code
• Configuration Assistance
• Output visualization (static or interactive)
• Additional revisions
• API Integration
More about me:
I am a business analyst and data scientist with 15 years of professional experience. I have a Masters degree in Econometric modeling. I use Python, PHP, JavaScript, SQL and Excel to collect, clean and analyze data and to automate my clients' business processes. I would love to help you extract and analyze structured information from unstructured text.
Starter includes:
• Entity Extraction, such as extracting entities, such as names, locations, and organizations.
Standard includes:
• Natural Language Processing, such as extracting key words and phrases, and counting their frequency.
Advanced includes:
• Sentiment Analysis, such as classifying text into positive or negative categories.
Available add-ons include:
• Model documentation
• Source Code
• Configuration Assistance
• Output visualization (static or interactive)
• Additional revisions
• API Integration
More about me:
I am a business analyst and data scientist with 15 years of professional experience. I have a Masters degree in Econometric modeling. I use Python, PHP, JavaScript, SQL and Excel to collect, clean and analyze data and to automate my clients' business processes. I would love to help you extract and analyze structured information from unstructured text.
What's included
| Service Tiers |
Starter
$100
|
Standard
$200
|
Advanced
$400
|
|---|---|---|---|
| Delivery Time | 2 days | 2 days | 2 days |
Number of Revisions | 1 | 1 | 1 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | |
Data Source Connectivity | |||
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$50
Additional Graph/Chart
(+ 1 Day)
+$50
Model Documentation
(+ 1 Day)
+$100
Source Code
(+ 1 Day)
+$200About Kirsten
Award-Winning Analyst, Data Scientist, and Communicator
Purcellville, United States - 8:13 pm local time
Python, Excel, Natural Language Processing (NLP), Statistics, Machine Learning (ML), Econometrics, Indicators, Metric Design, Sign Posts, Agile Development, Redmine, Jira, HIVE, Hue, Agent Based Modeling (ABM), NetLogo, Twister, Oracle/Postgres, SQL, HTML, CSS, JavaScript, Visio, Tableau, PowerBI, GitHub
Communication Skills
Extensive experience briefing policymakers, writing analytic assessments, and visualizing complicated datasets. Experience leading analytic cells, chairing steering groups, representing on committees, and contributing to initiatives spanning multiple government organizations. Structured Analytic Techniques Facilitator, Applied Creativity and Collaboration Practitioner, Lean Six Sigma and Rapid Improvement Event experience.
Awards
While in the Federal government, I received:
- Exceptional performance awards for econometric and methodology improvements to flagship publications
- The Office Director's Award for Innovation for driving data analysis
- The ODNI National Intelligence Integration Award for "Most Significant Impact on the IC" for authoring a high-impact assessment and inter-agency collaboration
- An award for bridging disparate corporate and overseas initiatives into a unified strategy for business analytics by integrating upstream data collection efforts with downstream data science business analytic efforts, ensuring customer-focused design and solutions for logistics and human resource platforms
- Three performance awards for developing and teaching courses around best practices and tutorials for using quantitative data and tools, economic measures, and data availability to promote digital acumen among officers and encourage collaboration on technical accounts
Steps for completing your project
After purchasing the project, send requirements so Kirsten can start the project.
Delivery time starts when Kirsten receives requirements from you.
Kirsten works on your project following the steps below.
Revisions may occur after the delivery date.
Receive text files from client
Receive source text for analysis.
Perform Natural Language Processing
Use Python to automate the extraction of keywords, entities of interest, and key phrases from text files and conduct any analysis specified in the contract.