📅 2024-10-02 — Session: Developed Keyword Extraction Class for Data Ingestion
🕒 03:10–03:20
🏷️ Labels: Keyword Extraction, Data Processing, Automation, NLP, Python
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to develop a keyword extraction class to process various data sources, facilitating initial classification before further handling by AI agents or storage in specialized databases.
Key Activities
- Planned the creation of a keyword extraction class for processing data from sources like RSS feeds, emails, and news articles.
- Outlined the steps for implementing a flexible keyword extraction and classification system using Python, focusing on techniques like TF-IDF and Named Entity Recognition (NER).
- Confirmed readiness to integrate the keyword extraction class into a data ingestion pipeline.
Achievements
- Successfully outlined the architecture for a flexible data ingestion and processing system.
- Established a clear plan for implementing keyword extraction and classification, setting the stage for further development.
Pending Tasks
- Begin the actual coding and integration of the keyword extraction class into the data ingestion pipeline.
- Test the system with real data sources to ensure functionality and performance.