- Neftaly Topic Extraction Template
Neftaly Templates to Use
📅 Applicable Period: January 1, 2025 – January 31, 2025
📍 All Templates Available on the Neftaly Website
🔹 Overview:
Neftaly provides standardized templates on its website to ensure uniformity, accuracy, and efficiency across all project tasks. Using these templates helps maintain data quality, simplifies review processes, and supports seamless collaboration within the Neftaly ecosystem.
Neftaly Topic Extraction Template
📝 Purpose:
The Neftaly Topic Extraction Template is a structured worksheet designed to facilitate the process of extracting, cleaning, tagging, and categorizing topics generated from each GPT prompt. It helps you organize information systematically, ensuring all required details are captured and formatted according to Neftaly’s standards.
Neftaly Template Features and Structure:
| Column | Description |
|---|---|
| Prompt ID | Unique identifier assigned to each GPT prompt for easy reference and tracking. |
| Prompt Text | The exact text of the GPT prompt associated with the topics being extracted. |
| Topic Number | Serial number from 1 to 100 indicating the position of the topic within that prompt’s list. |
| Extracted Topic | Raw topic ideas or keywords initially gathered from GPT outputs, brainstorming, or research. |
| Cleaned Topic | Polished version of the extracted topic, with corrections in spelling, grammar, and formatting. |
| Tags | Relevant keywords or tags assigned according to Neftaly’s tagging guidelines for easy filtering. |
| Primary Category | Main classification of the topic within Neftaly’s standardized category taxonomy. |
| Secondary Category | Optional secondary classification if the topic overlaps multiple categories. |
| Comments/Notes | Additional remarks, clarifications, or instructions related to the specific topic entry. |
Neftaly How to Use the Neftaly Topic Extraction Template:
- Input GPT Prompt Details:
Begin by entering the Prompt ID and Prompt Text at the top of the worksheet or in the designated columns. This ties your topics directly to their originating prompt. - Extract Topics:
Populate the Extracted Topic column with initial ideas, keywords, or concepts related to the prompt. These can be sourced from GPT outputs, manual research, or brainstorming sessions. - Clean and Refine Topics:
Edit each extracted topic for clarity, spelling, grammar, and format consistency. Enter the revised topics into the Cleaned Topic column. - Assign Tags:
Using the official Neftaly tagging guidelines, assign relevant tags to each topic to improve searchability and categorization. - Categorize Topics:
Choose the Primary Category for each topic from Neftaly’s standardized category list. If appropriate, add a Secondary Category. - Add Comments or Notes:
Use this field to flag any unclear topics, special cases, or suggestions.
Neftaly Access and Download Instructions:
- Log in to your Neftaly account on the official Neftaly website.
- Navigate to the Resources or Templates section of the dashboard.
- Locate and download the Neftaly Topic Extraction Template file, typically available in Excel (.xlsx) or Google Sheets format.
- Save a copy locally and work on the file according to your weekly task assignments.
Neftaly Benefits of Using the Neftaly Topic Extraction Template:
- Standardization: Ensures consistent data format across all contributors.
- Efficiency: Simplifies topic extraction, cleaning, tagging, and categorization in one place.
- Quality Control: Facilitates easier review by Neftaly internal teams and quick feedback turnaround.
- Traceability: Links topics explicitly to their prompts with unique IDs for audit and reference.
- Collaboration: Supports clear communication and updates through comments/notes fields.
Neftaly Additional Tips:
- Regularly save your work to prevent data loss.
- Review Neftaly’s tagging and category guideline documents alongside the template to avoid errors.
- If unsure about a category or tag, consult the Neftaly support team before submission.
- Maintain version control when submitting updated topic extraction files.
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