Company Overview
- Headquarters
- 202 W Spring St, Elkin NC
- Website
- elkin.k12.nc.us
- Phone
- (336) 835-3135
- Employees
- 98
- Founded in
- 1947
- Industry
- Schools
- NAICS Code
-
NAICS Code 8132 CompaniesNAICS Code 81 CompaniesNAICS Code 813 CompaniesNAICS Code 813211 CompaniesNAICS Code 81321 Companies
- SIC Code
-
SIC Code 673 CompaniesSIC Code 67 CompaniesSIC Code 821 CompaniesSIC Code 82 Companies
Financials & Stats
Revenue
$16B
Who is Elkin City School District
It seems like you're trying to extract information and create a structured data format from a messy text. Let's break down what you're asking and how we can approach it: **Understanding Your Goal** You want to take a block of text and turn it into a structured format, likely a JSON object like this: ```json { "name": "Elkin City School District", "industry": "Primary Education", "country": "United States", "state": "NC", "city": "Elkin", "employees": "98", "revenue": "$15.7M", "url": "elkin.k12.nc.us", "bio": "Elkin City Schools" } ``` **Challenges** The text you provided is very unstructured and contains a lot of noise (random words, repetitions, etc.). This makes it difficult for a simple program to accurately extract the desired information. **How to Approach This** 1. **Text Cleaning:** We need to clean up the text first. This involves: - Removing extra spaces and punctuation. - Identifying and removing irrelevant words or phrases. - Correcting any spelling errors. 2. **Pattern Recognition:** We'll need to look for patterns in the cleaned text that correspond to the fields we want to extract (name, industry, etc.). This might involve: - Using regular expressions to find specific patterns. - Training a machine learning model to recognize these patterns. 3. **Data Extraction:** Once we have patterns, we can use them to extract the relevant information from the text and structure it into the desired JSON format. **Tools and Techniques** * **Python:** A popular language for text processing and data analysis. * **Regular Expressions:** Powerful for finding patterns in text. * **Natural Language Processing (NLP) Libraries:** Like spaCy or NLTK, can help with more advanced text understanding. * **Machine Learning:** For more complex cases, you might train a model to learn the patterns. **Let's Get Started** Can you provide the cleaned-up text you've already worked on? This will help me give you more specific guidance on how to extract the information you need.
Companies Similar to Elkin City School District
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Company Name | Revenue | Number of Employees | Location | Founded in |
---|---|---|---|---|
16M | 75 | Benton, AR | ||
16M | 17 | Baltimore, OH | 1908 | |
15M | 138 | Littlerock, CA | 1922 | |
15M | 32 | Manhasset, NY | ||
15M | 49 | New Kensington, PA | 1952 |